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0.762069 -9.6228 a subset of
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0.906404 -9.63436 18
0.890476 -9.63585 look at
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0.804878 -9.68074 (see section
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0.701863 -9.6833 verbal
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0.588942 -9.77882 improving
0.815668 -9.77895 21
0.574713 -9.78241 filtering
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0.700348 -9.80299 smoothing
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0.884393 -9.84556 22
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0.541485 -9.85071 syntax
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0.856354 -9.86152 17
0.892216 -9.8617 its own
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0.660066 -9.86823 hybrid
0.350698 -9.86914 detection
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0.783019 -9.88329 in this work, we
0.699248 -9.88411 upon
0.785714 -9.88539 flat
0.88024 -9.8856 32
0.748918 -9.88898 represented as
0.977778 -9.88997 figure 5:
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0.722449 -9.89877 success
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0.823529 -9.90583 coarse
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0.970149 -9.90902 repeat
0.581769 -9.91276 11
0.583784 -9.91473 s.
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0.63961 -9.91622 weighting
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0.682836 -9.92391 oov
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0.643333 -9.92982 involving
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0.651568 -9.94586 13
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0.359202 -9.99469 8
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0.506912 -10.0352 15
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0.957983 -10.0532 ranging from
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0.990741 -10.0872 table 7:
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0.990654 -10.0969 31
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0.92437 -10.1249 correctness
0.522788 -10.125 grammars
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0.951923 -10.1994 a1
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0.71978 -10.2061 19
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0.689655 -11.0289 0.75
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0.339888 -11.037 al., 2009)
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1 -11.0901 instead.
1 -11.0901 daum´e iii
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0.244259 -11.3986 solution
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0.966667 -11.3987 6%
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0.770833 -11.3995 5-gram language
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0.966667 -11.4018 remediation
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0.795455 -11.4052 fbis
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0.885714 -11.4115 2004,
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0.911765 -11.4115 table 7 shows
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0.829268 -11.4145 nlp.
0.966667 -11.4146 1500
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0.701754 -11.4174 genetic
0.487179 -11.4174 precise
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0.427632 -11.4187 request
0.651515 -11.4188 callison-burch
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0.966667 -11.4194 isolation,
0.125922 -11.4195 user
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0.173118 -11.42 metric
0.935484 -11.4201 t:
0.885714 -11.4202 (17)
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0.825 -11.4206 coded
0.672131 -11.4207 a comprehensive
0.555556 -11.421 p1
0.864865 -11.4212 paths.
0.935484 -11.4212 parameter tuning
1 -11.4214 help.
1 -11.4214 fixed.
1 -11.4214 comparable.
1 -11.4214 generalization.
1 -11.4214 4.1.
1 -11.4214 place.
1 -11.4214 seconds.
1 -11.4214 index.
1 -11.4214 policies.
1 -11.4214 hong kong
1 -11.4214 λ.
1 -11.4214 accurate.
1 -11.4214 experience.
1 -11.4214 preprocessing.
1 -11.4214 (resp.
1 -11.4214 be.
0.965517 -11.4215 pruning.
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0.276712 -11.4228 z
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0.935484 -11.4235 4.7
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0.440559 -11.4239 most important
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0.777778 -11.4283 slu
0.211974 -11.4284 address
0.864865 -11.4285 +1
0.965517 -11.4285 section 3.3.
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0.965517 -11.429 reconstruction error
0.965517 -11.429 49.4
0.965517 -11.4292 too,
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0.14121 -11.4296 graph
0.677966 -11.4297 priori
0.641791 -11.4297 0.78
0.765957 -11.4298 0.56
0.842105 -11.4299 (english
0.935484 -11.4299 tp
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0.809524 -11.43 detected by
0.909091 -11.4302 reliance
0.965517 -11.4303 assumptions,
0.864865 -11.4304 vms
0.965517 -11.4306 dominating
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0.75 -11.4311 umls
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0.486957 -11.4319 thread
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0.483051 -11.4322 jj
0.396552 -11.4324 example.
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0.965517 -11.4331 dop
0.935484 -11.4332 scl
0.765957 -11.4332 χ2
0.965517 -11.4335 chinese-to-english
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0.842105 -11.434 cohen’s
0.689655 -11.434 short,
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0.809524 -11.4342 charniak,
0.965517 -11.4346 goldstandard
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0.245077 -11.4352 language,
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0.965517 -11.4359 wu,
0.406061 -11.4362 convergence
0.65625 -11.4362 thre
0.53125 -11.4362 k,
0.182588 -11.4363 np
0.965517 -11.4367 phenomenon,
0.74 -11.4367 prosodic features
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0.458015 -11.4369 p =
0.965517 -11.437 29%
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0.965517 -11.4373 style,
0.672131 -11.4373 dimensions.
0.935484 -11.4375 section 4 presents
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0.394286 -11.4376 regulation
0.716981 -11.4377 hypotheses,
0.965517 -11.4378 pronoun,
0.130086 -11.4379 t
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0.861111 -11.4382 hierarchical clustering
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0.965517 -11.4384 acting
0.909091 -11.4385 u,
0.550562 -11.4385 bold
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0.478992 -11.4389 survival
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0.935484 -11.4483 117
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1 -11.4578 so.
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1 -11.4578 alternatives.
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1 -11.4578 efficiently.
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0.861111 -11.4613 160
0.790698 -11.4614 118
0.964286 -11.4616 syntactical
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0.515152 -11.4694 article,
0.772727 -11.4696 liwc
0.90625 -11.4696 bilingual dictionaries
0.882353 -11.4697 comon
0.482456 -11.4697 displayed
0.122599 -11.4697 bleu
0.467213 -11.4698 0 0 .
0.933333 -11.4698 (our
0.964286 -11.47 kim et al.
0.964286 -11.47 multidocument
0.933333 -11.4702 distances between
0.964286 -11.4704 limited,
0.90625 -11.4707 lsh
0.711538 -11.4708 i’m
0.772727 -11.4709 interleaving
0.837838 -11.4709 hal
0.60274 -11.471 characters,
0.605634 -11.471 ~
0.804878 -11.4712 couple of
0.964286 -11.4715 probabilistically
0.964286 -11.4715 ambiguous,
0.566265 -11.4715 vast
0.933333 -11.4719 algorithm:
0.429577 -11.472 greatly
0.882353 -11.472 switching
0.837838 -11.4723 greedily
0.837838 -11.4723 nlf
0.964286 -11.4725 realizing
0.964286 -11.4732 assistance
0.391813 -11.4732 appears in
0.772727 -11.4732 in some cases
0.90625 -11.4732 morph
0.964286 -11.4733 agreements
0.567901 -11.4733 much higher
0.734694 -11.4736 positional
0.882353 -11.474 cpu
0.804878 -11.474 0.87
0.964286 -11.474 early modern
0.964286 -11.4741 conjuncts
0.964286 -11.4744 baldwin
0.605634 -11.4748 conditions,
0.933333 -11.4748 process:
0.964286 -11.4749 trigger,
0.785714 -11.475 searching for
0.964286 -11.4751 intentions
0.964286 -11.4751 sentencelevel
0.576923 -11.4757 smallest
0.820513 -11.4759 0.49
0.171111 -11.4759 articles
0.882353 -11.4761 ssrs
0.605634 -11.4761 prefixes
0.526316 -11.4762 neighbor
0.964286 -11.4762 content-based
0.470588 -11.4764 contiguous
0.575 -11.4764 data points
0.964286 -11.4766 adaptation,
0.90625 -11.4766 denotation
0.90625 -11.4766 e)
0.785714 -11.4767 deliver
0.964286 -11.4768 e-rater
0.964286 -11.4768 preand
0.964286 -11.4768 drawbacks
0.964286 -11.4771 responding
0.133603 -11.4775 p
0.655738 -11.4776 instantiation
0.0907956 -11.4777 lexical
0.964286 -11.4779 differed
0.964286 -11.4779 difficult,
0.964286 -11.4779 table 1 summarizes
0.285714 -11.478 posterior
0.964286 -11.478 practices
0.785714 -11.4781 centered
0.698113 -11.4782 dictionaries.
0.964286 -11.4783 broad-coverage
0.964286 -11.4783 sub-words
0.964286 -11.4784 haiti
0.394118 -11.4788 write
0.661017 -11.4792 s.,
0.144094 -11.4796 words,
0.964286 -11.4797 customized
0.964286 -11.4797 fast,
0.964286 -11.4798 cardinal
0.403727 -11.4798 clusters.
0.964286 -11.48 feeling
0.964286 -11.48 table 1 lists
0.532609 -11.48 improvements over
0.744681 -11.48 exploration of
0.964286 -11.4806 134
0.964286 -11.4806 (snow
0.964286 -11.4808 167
0.964286 -11.4808 transition,
0.273504 -11.4808 entry
0.964286 -11.4809 tens
0.837838 -11.4809 in turn,
0.8 -11.481 semantic change
0.964286 -11.4811 concise
0.964286 -11.4811 more,
0.630769 -11.4811 network,
0.755556 -11.4812 w/
0.964286 -11.4813 mean,
0.964286 -11.4814 inspiration
0.964286 -11.4814 specialised
0.605634 -11.4815 it appears
0.711538 -11.4818 rule markov
0.964286 -11.482 vsm
0.698113 -11.482 syllables
0.350467 -11.4823 extraction,
0.878788 -11.4823 targeted self-training
0.837838 -11.4824 95% confidence
0.90625 -11.4824 binned
0.964286 -11.4825 nell’s
0.878788 -11.4825 parallel corpora,
0.576923 -11.4826 only a small
0.191074 -11.4827 matrix
0.878788 -11.4827 unlexicalized
0.219557 -11.4828 evidence
0.90625 -11.4828 gr
0.785714 -11.483 an iterative
0.698113 -11.483 itg
0.429577 -11.4834 cn
0.964286 -11.4838 0.14
0.964286 -11.484 collectively
0.964286 -11.4842 modularity
0.90625 -11.4842 in section 6,
0.964286 -11.4845 0.05,
0.964286 -11.4845 paradigm,
0.964286 -11.4845 imposing
0.8 -11.4846 we conclude that
0.0711257 -11.4847 feature
0.857143 -11.485 squared
0.964286 -11.4851 pra
0.772727 -11.4851 putting
0.964286 -11.4853 optimise
0.567901 -11.4853 to induce
0.837838 -11.4853 translationese
0.837838 -11.4854 adjective,
0.964286 -11.4856 addressee
0.24594 -11.4857 2006)
0.212069 -11.4858 svm
0.586667 -11.4859 expressed as
0.964286 -11.4861 economy
0.446154 -11.4862 baselines.
0.964286 -11.4864 bringing
0.655738 -11.4864 two kinds
0.964286 -11.4868 results;
0.630769 -11.4871 det
0.964286 -11.4872 (corresponding
0.964286 -11.4874 230
0.526882 -11.4874 inventory
0.339207 -11.4876 working
0.443609 -11.4877 in eq.
0.443609 -11.4879 inference.
0.878788 -11.4881 lattice,
0.645161 -11.4882 tree kernel
0.964286 -11.4883 encyclopedia
0.878788 -11.4884 figure 5 shows
0.785714 -11.4886 cu
0.72 -11.4886 gildea
0.837838 -11.4886 world,
0.50495 -11.4888 seek
0.785714 -11.4891 class-based
0.605634 -11.4891 deceptive
0.594595 -11.4893 results reported
0.964286 -11.4894 derives
0.933333 -11.4895 mild
0.72 -11.4895 spectrum
0.933333 -11.4897 (shown
0.50495 -11.4897 mt evaluation
0.903226 -11.49 indexed by
0.964286 -11.4902 campaign
0.256345 -11.4904 we believe
0.645161 -11.4905 brings
0.546512 -11.4905 sentence:
0.964286 -11.4906 8%
0.560976 -11.4906 should have
0.744681 -11.4907 (och, 2003)
0.785714 -11.491 pls
0.495238 -11.4911 additionally
0.837838 -11.4914 scopes
0.442748 -11.4915 pick
0.964286 -11.4915 131
0.755556 -11.4915 attribute selection
0.878788 -11.4915 contrary,
0.8 -11.4916 monologue
0.785714 -11.4919 pedersen
0.815789 -11.4926 c:
0.903226 -11.4931 disk
0.964286 -11.4932 h:
0.964286 -11.4933 facebook
0.560976 -11.4933 beliefs
0.878788 -11.4933 sh
0.520833 -11.4933 our model,
0.8 -11.4936 we shall
0.964286 -11.4937 count,
0.56962 -11.4937 acronym
0.964286 -11.4938 functions:
0.931034 -11.4939 kl-divergence
0.931034 -11.4941 we have:
0.931034 -11.4941 configurations,
0.8 -11.4941 recal
0.903226 -11.4945 significantly improved
0.350711 -11.4948 the former
0.931034 -11.4952 cp-net
0.578947 -11.4952 impression
0.931034 -11.4953 ta
0.72 -11.4953 results are presented
0.402516 -11.4953 besides
0.785714 -11.4954 effective,
0.698113 -11.4954 attractive
1 -11.4955 corrections.
1 -11.4955 toolkit.
1 -11.4955 subtrees.
1 -11.4955 end.
1 -11.4955 relevance.
1 -11.4955 tables.
1 -11.4955 exists.
1 -11.4955 framenet.
1 -11.4955 cache.
1 -11.4955 child.
0.962963 -11.4956 etc).
0.173862 -11.4957 v
0.878788 -11.496 0.92
0.72 -11.4962 our experimental results
0.815789 -11.4964 measurements
0.578947 -11.4964 reference translation
0.785714 -11.4966 off-the-shelf
0.188446 -11.4968 improvements
0.390533 -11.4968 obvious
0.931034 -11.497 119
0.878788 -11.497 (banko
0.645161 -11.4971 (li et
0.931034 -11.4971 exemplars
0.931034 -11.4978 can’t
0.521277 -11.4978 maintaining
0.755556 -11.4982 speaking,
0.302491 -11.4983 subjects
0.439394 -11.4987 semantics.
0.634921 -11.4992 we implement
0.729167 -11.4993 formulated as
0.0571176 -11.4993 at
0.327801 -11.4994 composition
0.103263 -11.4995 scores
0.375691 -11.4995 needed to
0.815789 -11.4995 il
0.466102 -11.4996 aid
0.0686328 -11.4996 both
0.931034 -11.4997 5-grams
0.903226 -11.4997 confirmation
0.962963 -11.4999 posterior probabilities
0.214669 -11.5 participants
0.103793 -11.5002 human
0.705882 -11.5002 2 background
0.586667 -11.5003 and eisner,
0.962963 -11.5004 simplex
0.931034 -11.5006 ∩
0.678571 -11.5006 resource,
0.962963 -11.5006 etzioni
0.698113 -11.5007 preserving
0.878788 -11.5007 wfst
0.50495 -11.5009 meant
0.729167 -11.5011 conventions
0.8 -11.5012 section 7.
0.878788 -11.5013 phrase table,
0.767442 -11.5014 systemt
0.521277 -11.5015 tutorial
0.289902 -11.5015 adjective
0.473684 -11.5017 2.4
0.857143 -11.5018 truthful
0.8 -11.5018 being able
0.931034 -11.502 γ,
0.931034 -11.502 education,
0.5625 -11.5021 expressed by
0.903226 -11.5021 l)
0.903226 -11.5021 adequately
0.962963 -11.5021 (blunsom
0.366492 -11.5022 synonyms
0.833333 -11.5023 feature sets,
0.73913 -11.5024 cognates
0.878788 -11.5026 operations,
0.962963 -11.5026 5.0
0.903226 -11.5027 deception
0.214286 -11.5028 an example
0.931034 -11.5029 news article
0.597222 -11.5031 adj
0.8 -11.5031 supplementary
0.931034 -11.5033 actually,
0.878788 -11.5034 hour
0.533333 -11.5035 7,
0.962963 -11.5037 naturalness
0.931034 -11.5038 n-gram,
0.962963 -11.5039 descriptions,
0.962963 -11.504 power,
0.878788 -11.5042 dyer
0.433824 -11.5043 biological
0.621212 -11.5044 much less
0.903226 -11.5044 b1
0.962963 -11.5045 50,000
0.685185 -11.5049 indefinite
0.6 -11.505 queue
0.266667 -11.5051 reduced
0.931034 -11.5051 diff
0.833333 -11.5051 line graph
0.385965 -11.5054 body
0.430657 -11.5056 explanation
0.578947 -11.5058 normalize
0.815789 -11.5059 re-scoring
0.442748 -11.5061 input,
0.903226 -11.5063 df
0.246445 -11.5063 attribute
0.962963 -11.5065 cws
0.931034 -11.5066 sentences:
0.6 -11.5066 cross-domain
0.103234 -11.5067 event
0.962963 -11.5067 relevant.
0.65 -11.5068 relating
0.962963 -11.5068 succeeding
0.170045 -11.5069 d
0.138889 -11.5069 sequence
0.815789 -11.5072 tokenization,
0.554217 -11.5072 broken
0.755556 -11.5075 didn’t
0.962963 -11.5079 executed
0.204918 -11.5081 count
0.410596 -11.5082 technologies
0.931034 -11.5083 (around
0.510204 -11.5083 proficiency
0.350962 -11.5084 files
0.962963 -11.5085 (pedersen
0.931034 -11.5086 122
0.833333 -11.5088 0.12
0.547619 -11.5091 mined
0.65 -11.5091 oil
0.292929 -11.5091 light
0.931034 -11.5092 values:
0.685185 -11.5097 term.
0.962963 -11.5103 mildly
0.962963 -11.5104 devise
0.102166 -11.5105 very
0.767442 -11.5108 multi-word expressions
0.962963 -11.5108 inventories
0.931034 -11.5109 (words
0.962963 -11.5109 ner,
0.8 -11.5109 exemplified
0.364583 -11.511 pronoun
0.187845 -11.511 novel
0.473684 -11.5111 occurs in
0.962963 -11.5113 (1999),
0.425532 -11.5114 investigation
0.962963 -11.5115 3.1)
0.903226 -11.5117 cardie,
0.625 -11.5118 to guide
0.962963 -11.512 unsupervised,
0.342593 -11.5121 signature
0.903226 -11.5122 african
0.962963 -11.5122 claimed
0.962963 -11.5122 memory,
0.589041 -11.5123 surprisingly,
0.962963 -11.5123 strube
0.903226 -11.5124 schedule
0.962963 -11.5127 comparably
0.962963 -11.5127 mrda
0.962963 -11.5128 discovers
0.581081 -11.5129 collins,
0.555556 -11.5129 on-line
0.931034 -11.5131 meronymy
0.852941 -11.5131 server
0.962963 -11.5131 abundant
0.962963 -11.5131 regularity
0.445312 -11.5132 proved
0.815789 -11.5133 long-range
0.852941 -11.5136 three kinds of
0.962963 -11.5137 functor
0.714286 -11.5139 to augment
0.547619 -11.5139 recursively
0.962963 -11.5139 lightweight
0.73913 -11.5141 evolution
0.273529 -11.5141 international
0.878788 -11.5142 carries
0.833333 -11.5143 proposed,
0.962963 -11.5143 (2000),
0.962963 -11.5144 justified
0.962963 -11.5144 retrain
0.833333 -11.5145 1992).
0.815789 -11.5146 proposed.
0.263014 -11.5147 correction
0.962963 -11.5148 outliers
0.412162 -11.5149 topic,
0.962963 -11.5149 nenkova
0.962963 -11.5149 112
0.685185 -11.5151 brought
0.284345 -11.5152 result in
0.962963 -11.5152 excludes
0.672727 -11.5153 0.06
0.962963 -11.5153 ratio,
0.962963 -11.5154 spreading
0.634921 -11.5155 ∪
0.655172 -11.5155 katakana
0.780488 -11.5156 comprised of
0.477477 -11.5157 connected to
0.284345 -11.5159 identical
0.962963 -11.5159 certainty
0.852941 -11.5162 interpretable
0.962963 -11.5162 imposes
0.962963 -11.5163 169
0.547619 -11.5166 to retrieve
0.962963 -11.5166 hyper-parameters
0.903226 -11.5167 csr
0.319838 -11.5167 dimensions
0.473214 -11.5168 small,
0.962963 -11.5168 speeds
0.962963 -11.517 cognition
0.5625 -11.5171 each pair of
0.815789 -11.5171 context window
0.903226 -11.5172 ef
0.962963 -11.5172 intentionally
0.852941 -11.5174 chan
0.833333 -11.5174 interfaces
0.73913 -11.5175 text simplification
0.465517 -11.5175 availability of
0.61194 -11.5175 propose a novel
0.962963 -11.5176 preparing
0.591549 -11.5177 string-to-tree
0.625 -11.5179 wsi
0.931034 -11.518 faust
0.5625 -11.5182 facial
0.815789 -11.5182 107
0.780488 -11.5183 xue
0.903226 -11.5185 port
0.54023 -11.5186 word-aligned
0.903226 -11.5186 132
0.73913 -11.5187 lastly,
0.962963 -11.5187 mentioned above
0.962963 -11.5187 ∅
0.962963 -11.5188 infoboxes
0.962963 -11.519 information)
0.903226 -11.5192 drugs
0.903226 -11.5194 lhs
0.692308 -11.5195 opinion analysis
0.962963 -11.5195 ls
0.815789 -11.5196 parameter vector
0.962963 -11.5196 composition,
0.962963 -11.5197 assembled
0.75 -11.5198 riedel
0.903226 -11.5199 tf
0.666667 -11.5201 2006.
0.962963 -11.5201 init
0.931034 -11.5203 most promising
0.589041 -11.5204 minimizing
0.962963 -11.5205 159
0.833333 -11.5208 general-purpose
0.833333 -11.521 for each sentence,
0.962963 -11.5214 tree-to-tree
0.962963 -11.5214 patterns:
0.962963 -11.5214 gui
0.815789 -11.5215 stephen
0.931034 -11.5218 book requests
0.324895 -11.5219 more likely
0.852941 -11.5219 adverbs,
0.962963 -11.5221 3.7
0.903226 -11.5223 (1992)
0.61194 -11.5223 training corpus,
0.962963 -11.5223 markers,
0.962963 -11.5224 liked
0.962963 -11.5228 (a),
0.903226 -11.5229 costs.
0.962963 -11.5229 lth
0.723404 -11.5234 1;
0.75 -11.5235 arabic.
0.591549 -11.5237 ma
0.962963 -11.5237 manipulate
0.962963 -11.5239 constrains
0.962963 -11.5239 pscfg
0.962963 -11.5239 temporally
0.714286 -11.5241 7.1
0.962963 -11.5246 goodness
0.547619 -11.5247 replaced with
0.962963 -11.5247 suport
0.358974 -11.5248 colour
0.794872 -11.5254 czech,
0.258667 -11.5254 we assume
0.852941 -11.5256 performs well
0.962963 -11.5257 synsets,
0.962963 -11.5257 347
0.692308 -11.5258 an extended
0.833333 -11.5259 motion
0.962963 -11.5259 do,
0.852941 -11.5262 hierarchies
0.794872 -11.5262 task-based
0.962963 -11.5262 surprise
0.962963 -11.5263 interesting,
0.962963 -11.5267 compile
0.347826 -11.5272 tags,
0.7 -11.5273 computational approaches
0.672727 -11.5274 personalized
0.52809 -11.5275 600
0.12844 -11.5275 x
0.962963 -11.5275 charts
0.962963 -11.5275 svm,
0.75 -11.5277 backchannel
0.833333 -11.5278 cleaning
0.875 -11.5278 previously reported
0.655172 -11.5279 is composed of
0.962963 -11.528 contention
0.602941 -11.5281 typically,
0.469027 -11.5282 5%
0.387879 -11.5283 suppose
0.931034 -11.5284 cotton
0.692308 -11.5285 different,
0.962963 -11.5285 iterates
0.962963 -11.5286 2a
0.931034 -11.5287 mwu
0.9 -11.5287 spellings
0.962963 -11.5288 decoded
0.655172 -11.529 columbia
0.962963 -11.5291 snomed
0.875 -11.5295 opens
0.962963 -11.5295 sucre
0.962963 -11.5296 165
0.319672 -11.5298 we discuss
0.274924 -11.5301 transfer
0.505155 -11.5301 syntactic information
0.534884 -11.5301 lf
0.672727 -11.5301 sentence)
0.639344 -11.5303 output:
0.962963 -11.5304 ellipses
0.962963 -11.5304 phases
0.962963 -11.5305 commonsense
0.49505 -11.5307 query,
0.962963 -11.5308 non-overlapping
0.469027 -11.5311 tested on
0.962963 -11.5312 (row
0.5 -11.5314 test,
0.692308 -11.5315 macaon
0.220273 -11.5318 constructed
0.875 -11.5319 toutanova
0.564103 -11.532 vertical
0.11742 -11.5321 output
0.962963 -11.5322 trace
0.928571 -11.5323 assumptions about
0.406667 -11.5324 factored
0.348039 -11.5326 inter-annotator
0.413793 -11.5327 0.7
0.761905 -11.5327 segmentor
0.962963 -11.5327 spans,
0.852941 -11.533 death
0.962963 -11.533 quote
0.672727 -11.5332 constraint.
0.179355 -11.5333 amount of
0.564103 -11.5333 procedings of the
0.9 -11.5334 trec
0.9 -11.5338 system)
0.810811 -11.5338 maximally
0.75 -11.534 claim that
0.810811 -11.534 strongest
0.780488 -11.534 vignettes
0.9 -11.5341 kitchen
0.438462 -11.5342 appeared
0.173285 -11.5344 vectors
0.472727 -11.5345 neighboring
0.780488 -11.5347 applicability of
1 -11.5348 abstracts.
1 -11.5348 czech.
1 -11.5348 submission.
1 -11.5348 solutions.
1 -11.5348 trained.
1 -11.5348 moves.
1 -11.5348 occurrences.
1 -11.5348 reduced.
1 -11.5348 lemma.
1 -11.5348 differently.
1 -11.5348 boundary.
1 -11.5348 letters.
1 -11.5348 ontologies.
1 -11.5348 machine.
1 -11.5348 difficulty.
1 -11.5348 either.
1 -11.5348 date.
1 -11.5348 similarities.
1 -11.5348 axioms.
0.961538 -11.5349 let’s go
0.961538 -11.5349 redundancy.
0.961538 -11.5349 power.
0.875 -11.5349 stay
0.402597 -11.5355 conduct
0.447154 -11.5359 transcripts
0.852941 -11.5359 incoherent
0.564103 -11.536 the berkeley parser
0.481132 -11.5361 times.
0.9 -11.5362 immediately after
0.75 -11.5362 transcriptions
0.875 -11.5364 overhead
0.469027 -11.5369 acquire
0.852941 -11.5372 gathered from
0.928571 -11.5372 factoid
0.331858 -11.5379 derive
0.928571 -11.5381 spontaneous speech
0.344498 -11.5382 liu
0.928571 -11.5391 evaluation:
0.733333 -11.5392 0.26
0.794872 -11.5392 slovene
0.7 -11.5393 solely on
0.304511 -11.5401 contribution of
0.181818 -11.5402 increase
0.928571 -11.5404 138
0.810811 -11.5405 this paper proposes
0.961538 -11.5405 srl-aware scfg
0.928571 -11.5407 monotonically
0.9 -11.5411 lvc
0.606061 -11.5413 indian
0.928571 -11.5413 ridge
0.961538 -11.5413 72.5
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0.84375 -11.6169 twss
0.923077 -11.617 log linear
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0.711111 -11.6177 spatial information
0.923077 -11.6178 learning:
0.866667 -11.6179 background knowledge
0.648148 -11.6179 syntax.
0.923077 -11.618 impressive
0.923077 -11.618 finer-grained
0.84375 -11.6181 couples
1 -11.6181 hold.
1 -11.6181 images.
1 -11.6181 2.1.
1 -11.6181 substitution.
1 -11.6181 aligned.
1 -11.6181 ratings.
1 -11.6181 parentheses.
1 -11.6181 books.
1 -11.6181 features).
1 -11.6181 minutes.
1 -11.6181 appropriate.
1 -11.6181 id.
1 -11.6181 morphemes.
1 -11.6181 streams.
1 -11.6181 variations.
1 -11.6181 del rey,
1 -11.6181 (3).
1 -11.6181 dependency.
1 -11.6181 priors.
0.958333 -11.6183 ibm model-1
0.475248 -11.6183 analyzer
0.923077 -11.6184 challenged
0.436975 -11.6186 n =
0.666667 -11.6188 this problem.
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0.616667 -11.6213 lu
0.62069 -11.6219 needed.
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0.958333 -11.6225 arabic-to-english
0.866667 -11.6226 0.32
0.711111 -11.6228 auto
0.178025 -11.6228 points
0.305785 -11.6229 reduces
0.8 -11.623 to do this,
0.695652 -11.6231 0.54
0.923077 -11.6231 trick
0.783784 -11.6233 mwe.
0.631579 -11.6235 task:
0.818182 -11.6237 0.17
0.249315 -11.6238 accuracy.
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0.866667 -11.624 nuclei
0.923077 -11.6243 lus
0.554054 -11.6244 m,
0.958333 -11.6247 vector-based
0.958333 -11.6247 work:
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0.8 -11.6252 version,
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0.866667 -11.6256 92%
0.364706 -11.6257 2000).
0.554054 -11.6258 falls
0.695652 -11.6258 can capture
0.892857 -11.6258 these results suggest
0.763158 -11.626 numberof
0.573529 -11.6262 stores
0.666667 -11.6263 our experiments show
0.892857 -11.6266 wl
0.892857 -11.6267 eleven
0.958333 -11.6268 osborne,
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0.151822 -11.6269 experiment
0.205993 -11.6273 estimated
0.958333 -11.6274 parallelism
0.673469 -11.6274 location.
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0.958333 -11.6278 bacteria biotope
0.364706 -11.628 composed of
0.0882555 -11.6282 score
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0.555556 -11.6285 salience
0.283688 -11.6287 cross
0.763158 -11.6287 subsection
0.866667 -11.6287 margin.
0.631579 -11.6287 solid
0.818182 -11.6288 ams
0.554054 -11.6288 this issue
0.958333 -11.6291 guidance
0.21371 -11.6291 resolution
0.958333 -11.6292 revealing
0.958333 -11.6293 speaking rate
0.56338 -11.6293 written by
0.866667 -11.6296 h2
0.923077 -11.6297 unknown.
0.554054 -11.6298 helpful for
0.923077 -11.6298 111
0.19187 -11.6302 right
0.763158 -11.6303 fertility
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0.137615 -11.6308 generate
0.892857 -11.6309 discriminate between
0.923077 -11.631 f(x)
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0.958333 -11.632 inadequate
0.958333 -11.6322 information-theoretic
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0.546667 -11.6322 needed for
0.892857 -11.6322 shi
0.923077 -11.6322 grandsibling
0.958333 -11.6323 20 newsgroups
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0.958333 -11.6324 itspoke
0.958333 -11.6324 2this
0.892857 -11.6324 advice
0.325472 -11.6325 received
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0.958333 -11.633 bootstrapping,
0.866667 -11.6331 apertium
0.75 -11.6332 chemical
0.596774 -11.6332 matching.
0.101134 -11.6333 single
0.72093 -11.6334 encourages
0.75 -11.6335 mt,
0.923077 -11.6335 spring
0.958333 -11.6336 history-based
0.892857 -11.6336 loss,
0.958333 -11.6341 dvd
0.818182 -11.6342 earlier work
0.958333 -11.6344 jones
0.958333 -11.6346 boldface
0.364706 -11.6346 matrices
0.308017 -11.6346 occur in
0.958333 -11.6348 cook
0.958333 -11.6348 linguistically-motivated
0.72093 -11.6349 probabilistic models
0.958333 -11.635 bridging
0.0810968 -11.6358 algorithm
0.958333 -11.636 sub-system
0.59375 -11.636 further improve
0.958333 -11.6361 cycles
0.72093 -11.6361 feature sets.
0.892857 -11.6361 143
0.958333 -11.6363 meanings,
0.958333 -11.6363 mwus
0.72093 -11.6364 algorithm, which
0.958333 -11.6367 premises
0.958333 -11.6367 intrinsically
0.818182 -11.6368 eric
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0.8 -11.6374 ein
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0.923077 -11.6381 determining whether
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0.442478 -11.6383 to analyze
0.818182 -11.6384 reservoir
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0.358382 -11.6388 starts
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0.8 -11.6392 wp
0.958333 -11.6397 worthwhile
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0.417323 -11.6399 creates
0.958333 -11.6401 levels:
0.958333 -11.6402 rulebased
0.958333 -11.6402 boxer
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0.958333 -11.6404 enterprise
0.731707 -11.6404 0.48
0.958333 -11.6405 included,
0.958333 -11.6406 capitalization,
0.958333 -11.6406 f1,
0.958333 -11.6409 non-asr
0.958333 -11.6409 homogeneous
0.958333 -11.6409 darpa gale
0.958333 -11.6412 data preparation
0.818182 -11.6418 sentiment classification,
0.8 -11.6419 asd
0.187994 -11.642 a simple
0.372671 -11.6421 list.
0.958333 -11.6422 id,
0.958333 -11.6424 joy
0.958333 -11.6425 formulae
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0.958333 -11.6426 dramatic
0.539474 -11.6431 koo
0.958333 -11.6432 delta
0.958333 -11.6433 monods
0.958333 -11.6435 table 2 lists
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0.42623 -11.6436 held
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0.653846 -11.644 failed to
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0.293436 -11.6444 0.
0.72093 -11.6444 r.,
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0.24147 -11.6445 α
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0.5 -11.6447 co-reference
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0.2173 -11.645 3,
0.958333 -11.6451 spell
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0.958333 -11.6452 losses
0.892857 -11.6454 bayesian inference
0.892857 -11.6455 prague
0.83871 -11.6456 reported here
0.958333 -11.6458 mediated
0.596774 -11.6458 as explained
0.958333 -11.6459 wildcards
0.958333 -11.6462 heuristics,
0.958333 -11.6463 2.7
0.113755 -11.6464 high
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0.818182 -11.6466 most appropriate
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0.892857 -11.6478 nations
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0.892857 -11.6479 si,
0.958333 -11.6482 abstracts,
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0.518072 -11.6486 haghighi
0.641509 -11.6487 two separate
0.731707 -11.6488 averages
0.958333 -11.6489 149
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0.958333 -11.6495 166
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0.958333 -11.6495 (2011).
0.147783 -11.6495 means
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0.547945 -11.6501 sentiwordnet
0.958333 -11.6502 (set
0.958333 -11.6504 1.5%
0.862069 -11.6504 2006,
0.958333 -11.6506 139
0.5 -11.6506 (koehn,
0.763158 -11.6507 confidence.
0.279152 -11.6508 training.
0.958333 -11.6509 assertions
0.958333 -11.6509 october
0.557143 -11.6509 vb
0.818182 -11.651 nomenclature
0.483871 -11.6511 in our experiments, we
0.958333 -11.6515 daughter
0.306383 -11.6516 easy to
0.414062 -11.6516 setting.
0.731707 -11.6517 column shows
0.222472 -11.6518 marked
0.958333 -11.6518 iterating
0.862069 -11.6519 section 5 presents
0.83871 -11.6521 weighting scheme
0.958333 -11.6522 metagrammar
0.958333 -11.6522 attaches
0.457143 -11.6523 requirement
0.133226 -11.6525 among
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0.958333 -11.6526 2.2.1
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0.888889 -11.653 mn
0.794118 -11.653 to accommodate
0.958333 -11.6531 compromise
0.958333 -11.6532 reimplementation
0.862069 -11.6533 report results on
0.958333 -11.6534 162
0.449541 -11.6534 mitchell
0.268852 -11.6535 community
0.958333 -11.6537 paying
0.794118 -11.6537 appended
0.958333 -11.6538 search engine.
0.958333 -11.6539 point-wise
0.958333 -11.6539 top-10
0.818182 -11.6539 pst
0.565217 -11.654 correspondences
0.272727 -11.6542 (2005)
0.193878 -11.6543 setting
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0.345946 -11.6549 (cf.
0.680851 -11.6549 1994)
0.958333 -11.655 scoring,
0.958333 -11.655 downloads
0.958333 -11.655 173
0.557143 -11.6551 roth
0.151295 -11.6552 correlation
0.181682 -11.6553 together
0.862069 -11.6553 extractive summarization
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0.74359 -11.6556 jurafsky,
0.237245 -11.6559 sources
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0.251429 -11.6569 different from
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0.888889 -11.6576 static cache
0.135495 -11.6581 improvement
0.505882 -11.6583 arise
0.74359 -11.6583 lr
0.625 -11.6583 in this study
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0.958333 -11.659 misunderstanding
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0.333333 -11.659 scenario
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0.127393 -11.6592 abstract
0.66 -11.6592 s0
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0.283088 -11.6594 successfully
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0.363636 -11.6597 half of
0.376623 -11.6604 sophisticated
0.414062 -11.6604 if there is
0.614035 -11.6605 url
0.958333 -11.6606 appropriate,
0.625 -11.6607 mixture model
0.74359 -11.6609 located in
0.777778 -11.661 goldwater
0.187801 -11.6611 comparing
0.547945 -11.6613 we keep
0.610169 -11.6613 bi
0.704545 -11.6614 induced from
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0.92 -11.6623 wn++
0.505882 -11.6624 more specific
0.777778 -11.6625 state items
1 -11.6626 reduction.
1 -11.6626 retrieved.
1 -11.6626 internet.
1 -11.6626 scales.
1 -11.6626 explanation.
1 -11.6626 production.
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1 -11.6626 paraphrasing.
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1 -11.6626 1990).
1 -11.6626 modifications.
1 -11.6626 rank.
1 -11.6626 counterparts.
1 -11.6626 coreferent.
1 -11.6626 propositions.
1 -11.6626 diversity.
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1 -11.6626 compared.
1 -11.6626 age.
1 -11.6626 versions.
1 -11.6626 detected.
1 -11.6626 screen.
0.74359 -11.6627 relief
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0.92 -11.6637 156
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0.406015 -11.6642 expectations
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0.62963 -11.665 empirical results
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0.704545 -11.6654 removal of
0.83871 -11.6657 s3
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0.549296 -11.6682 liang
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0.6 -11.6714 match,
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0.725 -11.6803 vanderwende,
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0.833333 -11.6817 mln
0.956522 -11.6818 boosts
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1 -11.7091 bacillus subtilis
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0.904762 -11.8682 navigli
0.947368 -11.8684 elegant
0.293269 -11.8685 integrate
0.947368 -11.8687 (section 3.2).
0.658537 -11.869 tokyo,
0.947368 -11.8691 no matter
0.43956 -11.8691 detector
0.642857 -11.8691 mcdonald,
0.947368 -11.8693 (ir)
0.636364 -11.8696 sparsity.
0.947368 -11.8698 manageable
0.947368 -11.8698 detrimental
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0.563636 -11.8699 the aforementioned
0.904762 -11.8702 8th
0.947368 -11.8703 banko
0.229851 -11.8703 2007),
0.112938 -11.8703 representation
0.869565 -11.8704 multiplying
0.869565 -11.8704 nmf
0.424242 -11.8705 connection
0.904762 -11.8709 1-gram
0.84 -11.871 0.29
0.947368 -11.871 all)
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0.947368 -11.8712 .52
0.694444 -11.8713 exceptions
0.869565 -11.8715 readings,
0.947368 -11.8716 machines,
0.947368 -11.8716 section 5.1.
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0.947368 -11.8716 .85
0.947368 -11.8717 77.6
0.727273 -11.8718 non-empty
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0.785714 -11.8723 lemon,
0.947368 -11.8723 76%
0.380165 -11.8723 serves
0.947368 -11.8728 (xiong
0.246575 -11.8729 a certain
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0.0851324 -11.8734 types
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0.947368 -11.8735 relations)
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0.262745 -11.8736 explained
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0.947368 -11.8739 helps us
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0.515152 -11.8741 careful
0.622222 -11.8743 addressed by
0.212821 -11.8744 reduction
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0.5 -11.8748 word sequence
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0.766667 -11.8755 ut
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0.588235 -11.8762 we explain
0.366412 -11.8764 a major
0.807692 -11.8765 thematic fit
0.642857 -11.8766 1n
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0.807692 -11.8774 ?x
0.947368 -11.8776 am-fm
0.474359 -11.8776 decisions.
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0.947368 -11.8778 82.6
0.396396 -11.8778 not directly
0.103448 -11.8778 much
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0.904762 -11.878 (semantic
0.947368 -11.8783 compactly
0.947368 -11.8783 consulting
0.576923 -11.8784 (about
0.0478098 -11.8787 system
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0.947368 -11.8787 87.0
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0.947368 -11.8787 dyer,
0.869565 -11.879 hyperplane
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0.666667 -11.8791 lambda
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0.542373 -11.8794 identifier
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0.741935 -11.8795 comunication
0.947368 -11.8796 67.0
0.947368 -11.8796 real-life
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0.947368 -11.8803 upper-bound
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0.947368 -11.8805 wisdom-lmde
0.947368 -11.8805 (se
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0.588235 -11.8806 5% of
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0.947368 -11.8808 49.5
0.622222 -11.881 an expression
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0.232416 -11.8814 nn
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0.5 -11.8818 conversation.
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0.387931 -11.8826 distribution,
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0.947368 -11.8828 43.8
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0.306452 -11.8832 rates
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0.947368 -11.8835 self-training,
0.947368 -11.8837 hurts
0.947368 -11.8837 finite,
0.947368 -11.8838 75.1
0.947368 -11.8838 edge,
0.947368 -11.8838 positives,
0.947368 -11.8838 section 4.1,
0.947368 -11.884 78.5
0.947368 -11.884 teufel
0.134084 -11.8842 comparable
0.869565 -11.8846 range,
0.515152 -11.8846 fill
0.486486 -11.8848 small amount
0.904762 -11.885 summing over
0.666667 -11.8851 swap
0.947368 -11.8853 move,
0.807692 -11.8853 semantic templates
0.591837 -11.8855 swiss
0.869565 -11.8856 dynamics
0.947368 -11.8856 77.5
0.947368 -11.8856 automation
0.237179 -11.8857 absolute
0.298969 -11.8858 valuable
0.947368 -11.886 unwanted
0.947368 -11.886 np-hard
0.474359 -11.886 latent dirichlet allocation
0.947368 -11.8864 66.6
0.947368 -11.8865 etts
0.785714 -11.8867 most difficult
0.785714 -11.8867 p(y
0.947368 -11.8867 consumption
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0.52381 -11.8872 relates
0.5 -11.8872 slightly better
0.947368 -11.8873 nltk
0.869565 -11.8874 yt
0.947368 -11.8874 lengths,
0.705882 -11.8875 (lm)
0.869565 -11.8876 4 related work
0.947368 -11.8876 finitestate
0.947368 -11.8876 distributionally
0.457831 -11.8877 hebrew
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0.904762 -11.8879 “no
0.947368 -11.888 65.6
0.304813 -11.8881 similarity.
0.947368 -11.8882 distance-based
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0.947368 -11.8885 65.1
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0.642857 -11.8885 spitkovsky
0.200461 -11.8888 (2007)
0.785714 -11.889 is, however,
0.947368 -11.8891 86%
0.357664 -11.8892 aimed
0.553571 -11.8892 constituents.
0.904762 -11.8893 rt
0.947368 -11.8894 ksummationdisplay k=1
0.947368 -11.8894 relationship,
0.947368 -11.8894 inheritance
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0.279279 -11.8894 events.
0.576923 -11.8894 speakers.
0.443182 -11.8899 zhao
0.947368 -11.89 41%
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0.947368 -11.8903 paper)
0.398148 -11.8905 chooses
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0.947368 -11.8909 90.0
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0.807692 -11.8911 infeasible
0.947368 -11.8912 34%
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0.947368 -11.8918 suboptimal
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0.947368 -11.8921 82.8
0.245675 -11.8922 2002)
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0.947368 -11.8928 slowly
0.947368 -11.8928 roget’s
0.833333 -11.8928 table 1: statistics
0.438202 -11.893 (li
0.0867127 -11.893 proposed
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0.293532 -11.8931 briefly
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0.576923 -11.8932 proxy
0.869565 -11.8934 evaluation criteria
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0.48 -11.8935 repeatedly
0.396396 -11.8935 integration of
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0.576923 -11.8936 sums
0.622222 -11.8937 errors made
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0.387931 -11.8937 utterances.
0.869565 -11.894 unsel
0.947368 -11.8941 54.5
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0.355072 -11.8943 w1
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0.947368 -11.8952 antonym
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0.947368 -11.8956 8.0
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0.947368 -11.9003 wsyn
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0.758621 -11.9021 ys
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0.407767 -11.9025 null.
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0.947368 -11.9025 168
0.807692 -11.9027 c0
0.364341 -11.9029 backward
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0.947368 -11.9074 320
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0.566038 -11.9089 mt05
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0.947368 -11.9091 misclassification
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0.947368 -11.9098 (19)
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0.286408 -11.9114 al., 2007)
0.863636 -11.9115 94.6
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0.295337 -11.915 a separate
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0.807692 -11.917 0.39
0.675676 -11.9171 3000
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0.208763 -11.9184 incorporate
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0.777778 -11.9194 svr
0.833333 -11.9196 85.5
0.613636 -11.9202 general.
1 -11.9204 deletion.
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1 -11.9204 crowdsourcing.
1 -11.9204 classifications.
1 -11.9204 statements.
1 -11.9204 benefits.
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1 -11.9204 orderings.
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1 -11.9204 communications.
1 -11.9204 paragraph.
1 -11.9204 protein.
1 -11.9204 (pp.
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1 -11.9204 content shifters
1 -11.9204 readings.
1 -11.9204 wild card
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1 -11.9204 efforts.
1 -11.9204 preferred.
1 -11.9204 uses.
1 -11.9204 tf.idf
1 -11.9204 environments.
1 -11.9204 clear.
1 -11.9204 determiners.
1 -11.9204 hansards
1 -11.9204 consistency.
1 -11.9204 duration.
1 -11.9204 desirable.
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1 -11.9204 maps.
1 -11.9204 polysemy.
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1 -11.9204 baseline).
1 -11.9204 studied.
1 -11.9204 determined.
1 -11.9204 dimension.
1 -11.9204 [0,1].
1 -11.9204 operator.
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0.944444 -11.9206 equivalents.
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0.777778 -11.9206 (%),
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0.863636 -11.923 71.6
0.944444 -11.9231 smal
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0.758621 -11.9237 losing
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0.9 -11.9241 70 75
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0.170984 -11.9242 path
0.863636 -11.9242 prenominal
0.833333 -11.9242 cl
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0.944444 -11.9245 diverge
0.9 -11.9245 (less
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0.58 -11.9245 regards
0.34507 -11.9246 (2007),
0.944444 -11.9247 publicly available.
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0.9 -11.9248 literals
0.944444 -11.9249 cer
0.293814 -11.9251 assigning
0.675676 -11.9256 placing
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0.676471 -11.9834 4.2.1
0.894737 -11.9834 benjamin
0.894737 -11.9836 tsp
0.941176 -11.9838 unbiased
0.894737 -11.9839 ru
0.894737 -11.9841 aditional
0.433735 -11.9843 says
0.941176 -11.9844 propbank (palmer
0.941176 -11.9844 syntax, semantics
0.345865 -11.9845 nouns.
0.941176 -11.9847 (figure 3).
0.164384 -11.9849 factor
0.941176 -11.9849 (prasad
0.941176 -11.9851 burkett
0.941176 -11.9853 monotone submodular
0.894737 -11.9854 dependency trees,
0.724138 -11.9855 wordnet-based
0.625 -11.9855 goldberg
0.894737 -11.9856 1-3
0.894737 -11.9858 prefix,
0.857143 -11.9859 75.6
0.625 -11.9859 formalize
0.459459 -11.986 vectors,
0.894737 -11.986 ps
0.425287 -11.9861 {
0.75 -11.9867 examines
0.769231 -11.9869 trajectories
0.586957 -11.9869 np.
0.769231 -11.987 dfki
0.75 -11.987 erk and
0.941176 -11.9873 formally define
0.941176 -11.9873 protein catabolism
0.316456 -11.9875 operators
0.894737 -11.9877 peng
0.941176 -11.9879 (birch
0.894737 -11.9881 linked web
0.857143 -11.9883 concordu
0.941176 -11.9883 λt
0.941176 -11.9883 replications
0.941176 -11.9883 (see section 4).
0.894737 -11.9883 1this
0.282828 -11.9885 illustrate
0.0994371 -11.9885 parse
0.941176 -11.9885 brants
0.857143 -11.9888 sigmoid
0.941176 -11.9889 stopping criterion
0.941176 -11.9891 argamon
0.894737 -11.9892 criteria:
0.941176 -11.9893 maximum-likelihood
0.941176 -11.9893 reinforce
0.941176 -11.9893 canonical forms
0.101233 -11.9894 contains
0.604651 -11.9894 an adjective
0.941176 -11.9895 26.3
0.769231 -11.9896 improves performance
0.123671 -11.9897 did
0.941176 -11.9897 abstractions
0.941176 -11.9897 valued
0.625 -11.9898 belief propagation
0.857143 -11.9899 successful,
0.857143 -11.9902 spelling,
0.941176 -11.9905 exactly,
0.941176 -11.9905 multi-document summarization.
0.941176 -11.9905 institutions
0.894737 -11.9905 filter,
0.894737 -11.9905 entrez
0.941176 -11.9909 habitat
0.941176 -11.9909 automated scoring
0.857143 -11.9911 [squaresmallsolid
0.433735 -11.9911 development data
0.648649 -11.9914 goal,
0.352 -11.9914 was also
0.941176 -11.9915 (ritter
0.604651 -11.9917 bill
0.857143 -11.9919 (two
0.204244 -11.9919 advantage of
0.448718 -11.9923 integrates
0.941176 -11.9923 watermarking
0.103309 -11.9925 result
0.609756 -11.9925 sentences, but
0.826087 -11.9926 bond
0.526316 -11.9929 cr
0.769231 -11.993 20k
0.791667 -11.993 word-pairs
0.941176 -11.993 patient’s
0.724138 -11.9931 hw
0.471429 -11.9932 collaboration
0.791667 -11.9933 wine
0.894737 -11.9933 petrov et al.
0.857143 -11.9935 an optional
0.894737 -11.9935 healthcare
0.894737 -11.9937 text summarization.
0.941176 -11.9938 85.7
0.941176 -11.9938 jones,
0.941176 -11.9938 (ratnaparkhi,
0.941176 -11.9938 weigh
0.6875 -11.994 2003.
0.769231 -11.9943 arc-standard
0.105749 -11.9943 association for computational
0.769231 -11.9945 lazy
0.769231 -11.9946 sys3
0.413043 -11.9947 c2
0.941176 -11.9948 (example
0.857143 -11.9951 refinements
0.307229 -11.9953 al., 2008),
0.941176 -11.9954 croft,
0.941176 -11.9954 yao
0.894737 -11.9954 appreciate
0.857143 -11.9955 assert
0.941176 -11.9956 28.7
0.941176 -11.9956 6.6
0.941176 -11.9956 based,
0.941176 -11.9956 low-dimensional
0.150507 -11.9956 always
0.724138 -11.9957 2d
0.791667 -11.9957 conf
0.857143 -11.9958 wikitopics
0.941176 -11.9958 gram
0.258621 -11.9959 all other
0.791667 -11.996 2007)).
0.941176 -11.996 (marcu
0.941176 -11.9962 kop
0.894737 -11.9962 traditionally,
0.894737 -11.9962 shorthand
0.648649 -11.9963 transition-based dependency
0.574468 -11.9964 dotted
0.941176 -11.9964 active,
0.941176 -11.9964 abundance
0.676471 -11.9966 induces a
0.941176 -11.9966 homonymous
0.941176 -11.9966 designer
0.471429 -11.9967 connotation
0.791667 -11.9968 no,
0.941176 -11.9968 237
0.625 -11.997 locality
0.941176 -11.9972 verbnet,
0.941176 -11.9972 pitch,
0.604651 -11.9973 twitter.
0.894737 -11.9973 j-prf
0.56 -11.9974 part.
0.941176 -11.9974 information;
0.38835 -11.9975 formulate
0.941176 -11.9976 plausibility
0.941176 -11.9976 corroborating
0.941176 -11.9976 word-alignment
0.941176 -11.9978 bipartite matching
0.941176 -11.9978 personalization
0.941176 -11.998 ldah-s
0.941176 -11.9982 coda
0.941176 -11.9988 uml
0.941176 -11.9988 expensive,
0.791667 -11.999 hier
0.941176 -11.999 unsuccessful
0.709677 -11.999 naacl
0.657143 -11.9991 mp
0.590909 -11.9991 implied
0.769231 -11.9992 implications for
0.54902 -11.9992 tools,
0.941176 -11.9992 delayed
0.941176 -11.9992 200,
0.941176 -11.9992 68.6
0.941176 -11.9992 fragment,
0.941176 -11.9994 sekine,
0.826087 -11.9996 organization.
0.857143 -11.9998 16:
0.6875 -11.9998 an auxiliary
0.941176 -11.9998 favour
0.941176 -11.9998 (pustejovsky
0.941176 -12 70.2
0.941176 -12 pasca,
0.709677 -12 predictable
0.826087 -12.0001 tutor.
0.941176 -12.0002 scholars
0.5 -12.0003 actions.
0.857143 -12.0004 bloggers
0.941176 -12.0004 decent
0.941176 -12.0004 mmr
0.709677 -12.0005 schemes,
0.22973 -12.0008 errors.
0.941176 -12.0008 placement
0.941176 -12.0008 dependency,
0.941176 -12.0008 divergent
0.609756 -12.0009 disadvantage
0.121789 -12.001 train
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0.941176 -12.001 established,
0.769231 -12.0011 statistical parsing
0.631579 -12.0011 similarity metrics
0.941176 -12.0012 malta,
0.941176 -12.0012 carreras
0.857143 -12.0013 figurative
0.941176 -12.0014 gillenwater
0.941176 -12.0014 generalise
0.941176 -12.0018 score;
0.941176 -12.0018 samplerank training
0.894737 -12.0019 lexical items.
0.941176 -12.002 transcripts,
0.590909 -12.0022 conducted on
0.941176 -12.0022 optimised
0.941176 -12.0022 multir
0.231034 -12.0024 is often
0.791667 -12.0024 categorial grammar
0.941176 -12.0024 tarau,
0.941176 -12.0024 qazvinian
0.676471 -12.0025 track.
0.192399 -12.0025 ways
0.197007 -12.0026 it was
0.941176 -12.0026 forecasting
0.941176 -12.0026 margin,
0.941176 -12.0026 paraphrasing,
0.857143 -12.0027 attardi
0.941176 -12.003 duan
0.941176 -12.0032 institute,
0.941176 -12.0032 sch¨utze,
0.857143 -12.0033 u1
0.941176 -12.0034 automate
0.941176 -12.0034 unmatched
0.941176 -12.0034 nombank
0.894737 -12.0034 multistream
0.941176 -12.0036 turk,
0.941176 -12.0036 drda
0.941176 -12.0038 predicateargument
0.791667 -12.0039 distribute
0.941176 -12.004 54.3
0.894737 -12.004 relation:
0.1975 -12.0041 way to
0.941176 -12.0042 indices,
0.941176 -12.0042 25.5
0.894737 -12.0042 ap,
0.941176 -12.0044 experiences
0.941176 -12.0044 adhere to
0.267281 -12.0046 combines
0.941176 -12.0046 gain,
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0.235714 -12.0047 we show that
0.857143 -12.0048 fj
0.941176 -12.0048 archaic
0.857143 -12.0049 while,
0.453333 -12.005 (this
0.894737 -12.0051 this area.
0.941176 -12.0052 status,
0.941176 -12.0052 rasp
0.894737 -12.0053 indian language
0.894737 -12.0055 ci,
0.631579 -12.0055 four types
0.676471 -12.0057 will always
0.538462 -12.0057 = 0.
0.537037 -12.0058 every sentence
0.941176 -12.006 65.7
0.941176 -12.006 55.1
0.590909 -12.0061 samplerank
0.201044 -12.0061 tool
0.941176 -12.0062 non-convex
0.941176 -12.0064 above)
0.537037 -12.0065 contributed
0.657143 -12.0066 canada
0.941176 -12.0066 scatter
0.941176 -12.0066 2010a),
0.484848 -12.0067 author’s
0.941176 -12.0068 one)
0.941176 -12.007 “x”
0.941176 -12.007 multilayer
0.527273 -12.0073 noise.
0.517241 -12.0073 mix
0.941176 -12.0074 unk
0.464789 -12.0077 we showed that
0.361345 -12.0077 variance
0.338235 -12.0078 aware
0.941176 -12.008 qa-sys
0.941176 -12.008 hubs
0.857143 -12.0081 simple heuristic
0.941176 -12.0084 (4
0.894737 -12.0084 computing,
0.941176 -12.0086 disjunction
0.941176 -12.0086 1300
0.941176 -12.0086
0.791667 -12.0088 lowering
0.941176 -12.0088 agglutinative
0.857143 -12.009 logical structure
0.941176 -12.0091 wide-coverage
0.941176 -12.0091 0.3,
0.941176 -12.0091 occurs,
0.857143 -12.0093 zone
0.941176 -12.0093 82.5
0.195062 -12.0093 2.1
0.10515 -12.0094 c
0.740741 -12.0094 gpe
0.941176 -12.0095 solvers
0.432099 -12.0096 located
0.941176 -12.0097 iconic
0.941176 -12.0097 78.3
0.791667 -12.0098 ptm
0.941176 -12.0099 35.0
0.941176 -12.0099 alignment-based
0.941176 -12.0099 178
0.941176 -12.0099 depth,
0.941176 -12.0101 departure
0.657143 -12.0103 rd
0.769231 -12.0103 west
0.941176 -12.0103 172
0.5625 -12.0104 significantly improve
0.941176 -12.0107 17%
0.941176 -12.0109 designs
0.941176 -12.0109 radius
0.941176 -12.0109 71.2
0.941176 -12.0109 45.5
0.894737 -12.011 shift-reduce parsing
0.941176 -12.0111 interannotator agreement
0.941176 -12.0111 paragraphs,
0.857143 -12.0112 commit
0.941176 -12.0113 samt-style
0.941176 -12.0113 taxonomy,
0.941176 -12.0115 soil
0.423529 -12.0115 categories:
0.508475 -12.0115 predicted by
0.941176 -12.0117 sentence-based
0.857143 -12.0119 encounters
0.4 -12.0119 drops
0.941176 -12.0119 justification
0.941176 -12.0119 ecu
0.941176 -12.0121 diachronic
0.941176 -12.0121 distributive
0.857143 -12.0125 spelled
0.791667 -12.0125 jonathan
0.941176 -12.0125 phrase)
0.330935 -12.0125 to decide
0.857143 -12.0127 :)
0.818182 -12.0127 plane
0.590909 -12.0127 many nlp
0.791667 -12.0127 f(y)
0.941176 -12.0127 87%
0.941176 -12.0127 circumstances
0.609756 -12.0129 wtm
0.941176 -12.0129 non-anaphoric
0.857143 -12.013 training examples,
0.941176 -12.0131 (2b)
0.818182 -12.0132 [2]
0.577778 -12.0133 bigrams,
0.941176 -12.0133 pointers
0.941176 -12.0135 ids
0.941176 -12.0135 termination
0.330935 -12.0135 0.3
0.941176 -12.0137 scus
0.941176 -12.0137 institutional
0.941176 -12.0137 52.2
0.355372 -12.0139 sources of
0.724138 -12.014 event structures
0.39 -12.014 this experiment
0.941176 -12.0141 afford
0.941176 -12.0141 complementing
0.941176 -12.0141 treebanks,
0.857143 -12.0143 sociolinguistic
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0.941176 -12.0145 modification,
0.941176 -12.0145 clients
0.941176 -12.0145 (right
0.941176 -12.0145 complexities
0.470588 -12.0147 f,
0.941176 -12.0147 throughput
0.941176 -12.0147 labeledlda
0.941176 -12.0149 participant’s
0.941176 -12.0149 400k
0.894737 -12.0149 documents:
0.173913 -12.015 spoken
0.769231 -12.0151 freq
0.941176 -12.0151 252
0.894737 -12.0151 mind.
0.527273 -12.0151 note,
0.941176 -12.0153 request,
0.941176 -12.0153 lg
0.857143 -12.0154 separable
0.6875 -12.0154 code,
0.769231 -12.0155 nan
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0.941176 -12.0155 intersecting
0.6875 -12.0156 an element
0.941176 -12.0157 layout
0.941176 -12.0157 rigid
0.941176 -12.0157 wizard-of-oz
0.941176 -12.0157 multi-output
0.538462 -12.0157 syntactic parsing
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0.470588 -12.0164 similarity scores
0.857143 -12.0167 aspectual
0.941176 -12.0167 openccg
0.791667 -12.0168 62.4
0.470588 -12.0169 threshold,
0.941176 -12.0169 regmt
0.941176 -12.0169 y(i) =
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0.55102 -12.0178 cues.
0.941176 -12.0178 temporal,
0.631579 -12.018 intervening
0.194581 -12.0183 similarity between
0.941176 -12.0184 equal,
0.941176 -12.0184 valuable resource
0.941176 -12.0184 culture,
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0.818182 -12.0185 sp
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0.492063 -12.0191 intuition that
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0.894737 -12.0193 fair comparison
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0.6875 -12.0194 1−
0.941176 -12.0194 compilation
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0.941176 -12.0198 schematic
0.5625 -12.0199 (except
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0.941176 -12.02 87.8
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0.941176 -12.0206 208
0.577778 -12.0207 0.57
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0.609756 -12.0214 subjects.
0.0560786 -12.0214 models
0.941176 -12.0214 aren’t
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0.941176 -12.0216 rel task
0.5625 -12.0218 syntactic,
0.4375 -12.0218 nlu
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0.941176 -12.022 formatting
0.240458 -12.0222 namely
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0.941176 -12.0227 hiberno-english
0.941176 -12.0227 fold,
0.941176 -12.0227 verse
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0.941176 -12.0239 360
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0.657143 -12.0244 ccgbank
0.941176 -12.0245 voices
0.538462 -12.0245 model;
0.941176 -12.0247 adequacy,
0.740741 -12.0249 (column
0.941176 -12.0249 3.1.2
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0.7 -12.0251 attribute-value
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0.7 -12.0255 we saw
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0.941176 -12.0255 nfl
0.941176 -12.0255 pending
0.941176 -12.0255 caches
0.791667 -12.0256 covariance matrices
0.941176 -12.0257 predication
0.818182 -12.0258 somasundaran
0.941176 -12.0259 8the
0.894737 -12.0259 similarity measures.
0.941176 -12.0261 88%
0.818182 -12.0262 errors:
0.941176 -12.0263 (nn)
0.107332 -12.0264 main
0.159396 -12.0265 to make
0.941176 -12.0265 xk
0.538462 -12.0267 a large corpus
0.85 -12.0272 ill-formed word
0.5625 -12.0274 table 1).
0.941176 -12.0274 catalog
0.941176 -12.0274 (null)
0.941176 -12.0274 insertions,
0.941176 -12.0274 annotation:
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0.55102 -12.0276 leverages
0.321918 -12.0277 lee,
0.724138 -12.0279 detailed description of
0.941176 -12.028 llda
0.941176 -12.028 copestake
0.941176 -12.0282 8.1
0.724138 -12.0283 persuasion
0.269231 -12.0284 space,
0.941176 -12.0286 95.8
0.941176 -12.0286 ua
0.941176 -12.029 uncertain+correct
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0.631579 -12.0294 tuning.
0.406593 -12.0295 we develop
0.290503 -12.0297 worth
0.941176 -12.0298 (1990)
0.85 -12.0302 user simulation
0.941176 -12.0305 joel
0.724138 -12.0306 training data size
0.7 -12.0306 minute
0.941176 -12.0307 9)
0.941176 -12.0307 demanding
0.941176 -12.0309 -ing
0.313725 -12.0309 likelihood of
0.615385 -12.031 topic models.
0.484375 -12.0311 devtest
0.941176 -12.0311 21%
0.941176 -12.0311 pinc
0.508772 -12.0313 for comparison,
0.149123 -12.0313 performance.
0.146515 -12.0313 a small
0.565217 -12.0314 download
0.791667 -12.0316 xiong et
0.791667 -12.0316 1989)
0.894737 -12.0316 1985).
0.120773 -12.0317 prior
0.6875 -12.0321 reading.
0.941176 -12.0321 cursor
0.5625 -12.0323 simplicity
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0.55102 -12.0325 an application
0.941176 -12.0325 restrictions,
0.941176 -12.0325 348
0.941176 -12.0325 truncation
0.941176 -12.0325 medication
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0.491803 -12.0326 lateen
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0.6875 -12.0332 plant
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0.85 -12.0343 (das
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0.7 -12.0344 will call
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0.941176 -12.0346 ttm
0.76 -12.0346 adv
0.395833 -12.0348 sampler
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0.875 -12.1979 (1986)
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0.6 -12.1996 mwen
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1 -12.3557 satisfactory.
1 -12.3557 cultural heritage
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1 -12.3557 prevalent.
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1 -12.3557 vp.
1 -12.3557 keyboard.
1 -12.3557 discourses
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1 -12.3557 improve.
1 -12.3557 discrepancies.
1 -12.3557 σ∗.
1 -12.3557 (graff,
1 -12.3557 i.e
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1 -12.3557 procedures.
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1 -12.3557 determiner.
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1 -12.3557 (§4).
1 -12.3557 negligible.
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1 -12.3557 ccgbank (hockenmaier
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1 -12.3557 (jeon
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1 -12.3557 narrative.
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1 -12.3557 self-training.
1 -12.3557 hand crafted
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1 -12.3557 sortal restrictions
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1 -12.3557 (mcnamee
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1 -12.3557 walk.
1 -12.3557 rest.
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1 -12.3557 prague, czech
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1 -12.3557 deletions.
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1 -12.3557 predictor.
1 -12.3557 alternative.
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1 -12.3557 frequently.
1 -12.3557 europarl.
1 -12.3557 possibilities.
1 -12.3557 value).
1 -12.3557 linguists.
1 -12.3557 miltsakaki
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1 -12.3557 interesting.
1 -12.3557 gloss.
1 -12.3557 frameworks.
1 -12.3557 desired.
1 -12.3557 e1 e2
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1 -12.3557 ends.
1 -12.3557 (stamatatos,
1 -12.3557 reasoning.
1 -12.3557 exploration.
1 -12.3557 ratios.
1 -12.3557 ungrammatical.
0.8125 -12.3558 more meaningful
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0.916667 -12.356 behaviour.
0.916667 -12.356 pasca
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0.444444 -12.3665 figure 1).
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0.916667 -12.3694 arg min
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0.916667 -12.3697 48.4
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0.916667 -12.3805 transitivity constraints
0.916667 -12.3805 machine-readable
0.916667 -12.3805 blunsom,
0.916667 -12.3805 2001,
0.916667 -12.3805 .10
0.62963 -12.3805 l-bfgs
0.8125 -12.3805 mexico
0.526316 -12.3808 were created
0.916667 -12.3808 prasad
0.916667 -12.3808 81.5
0.916667 -12.3808 ˆpintp
0.916667 -12.3808 (lee,
0.916667 -12.381 built upon
0.916667 -12.381 verifies
0.916667 -12.381 .66
0.916667 -12.381 extractions,
0.916667 -12.381 billions
0.916667 -12.381 kondrak,
0.8125 -12.381 25.6
0.666667 -12.3811 those who
0.857143 -12.3813 substitution grammars
0.8125 -12.3813 interacts
0.736842 -12.3814 30.5
0.23913 -12.3814 experiments with
0.62963 -12.3816 partial parse
0.512821 -12.3817 important aspects
0.916667 -12.3819 84.8
0.916667 -12.3819 classifier
0.714286 -12.3821 .95
0.64 -12.3821 new york, ny
0.857143 -12.3824 layered
0.916667 -12.3825 explicit,
0.916667 -12.3825 stuck
0.916667 -12.3825 strength,
0.916667 -12.3825 timeout
0.916667 -12.3827 focal
0.916667 -12.3827 (2008;
0.916667 -12.3827 aligner,
0.916667 -12.383 (ittycheriah
0.8125 -12.383 wr
0.8125 -12.383 sudden
0.916667 -12.3833 58.0
0.916667 -12.3833 (albeit
0.916667 -12.3833 space)
0.916667 -12.3833 resume
0.916667 -12.3833 treeto-string
0.8125 -12.3833 voted
0.666667 -12.3834 0.01,
0.8125 -12.3835 multinomial distributions
0.916667 -12.3836 extractive summaries
0.916667 -12.3836 1200
0.916667 -12.3836 .32
0.916667 -12.3839 predetermined
0.916667 -12.3839 76.5
0.857143 -12.3842 urls,
0.916667 -12.3842 intruder
0.64 -12.3845 xi,
0.916667 -12.3845 77.3
0.916667 -12.3845 (bird
0.916667 -12.3845 institution
0.8125 -12.3846 t-unit
0.857143 -12.3848 gnppa
0.916667 -12.385 queue,
0.916667 -12.385 vectors)
0.916667 -12.385 undergraduate
0.607143 -12.3851 defined.
0.764706 -12.3853 tim
0.916667 -12.3853 2009a)
0.916667 -12.3853 discern
0.916667 -12.3853 effects,
0.916667 -12.3856 parsimony
0.916667 -12.3856 topic)
0.916667 -12.3856 etc),
0.916667 -12.3856 signaling
0.8125 -12.3856 n’t
0.764706 -12.3857 despite their
0.857143 -12.3858 vmm
0.444444 -12.3858 latest
0.916667 -12.3859 sense)
0.764706 -12.386 hosts
0.764706 -12.386 ravichandran,
0.46 -12.3861 difficult.
0.681818 -12.3862 shortcomings of
0.916667 -12.3862 70.8
0.916667 -12.3862 87.4
0.736842 -12.3863 bojar
0.8125 -12.3863 fleiss’
0.526316 -12.3865 italian,
0.64 -12.3865 ˆ
0.916667 -12.3865 cisp
0.681818 -12.3868 advance.
0.916667 -12.3868 timeconsuming
0.8125 -12.3868 conferences
0.488372 -12.387 our primary
0.916667 -12.387 wash
0.916667 -12.387 .58
0.916667 -12.3873 detector,
0.916667 -12.3873 neutral)
0.916667 -12.3873 human,
0.8125 -12.3873 at level
0.268966 -12.3876 as mentioned
0.0318702 -12.3876 word
0.916667 -12.3876 characters)
0.916667 -12.3876 63.2
0.916667 -12.3876 oldest
0.409836 -12.3877 we created a
0.736842 -12.3879 consumers
0.916667 -12.3879 cluster)
0.916667 -12.3879 false-positive
0.916667 -12.3879 members,
0.916667 -12.3882 94.0
0.916667 -12.3882 bigger than
0.916667 -12.3882 .68
0.64 -12.3883 each participant
0.607143 -12.3883 importance.
0.148536 -12.3884 the size of
0.681818 -12.3885 ravi
0.580645 -12.3887 for details.
0.916667 -12.3888 1999,
0.916667 -12.389 prescribed
0.916667 -12.389 deciding whether
0.64 -12.3895 2004), which
0.45098 -12.3895 algorithm 2
0.468085 -12.3896 reported results
0.916667 -12.3896 formulaic
0.409836 -12.3897 two methods
0.607143 -12.3899 in comparison,
0.916667 -12.3899 impoverished
0.857143 -12.3901 at present,
0.64 -12.3901 content-only
0.916667 -12.3902 cases)
0.916667 -12.3902 graph-partitioning
0.916667 -12.3902 non-literal
0.916667 -12.3902 s0,
0.190972 -12.3902 portland, oregon, june 19-24,
0.5 -12.3902 wan
0.916667 -12.3905 credibility
0.916667 -12.3905 guessed
0.916667 -12.3905 reasonable,
0.916667 -12.3905 (candito
0.736842 -12.3906 parsing complexity
0.857143 -12.3907 ensured that
0.916667 -12.3908 35.6
0.916667 -12.3908 baker
0.916667 -12.3911 texts;
0.916667 -12.3911 opinionfinder
0.916667 -12.3911 loses
0.916667 -12.3911 randomlow
0.916667 -12.3911 prototype-based
0.4 -12.3913 conversely,
0.916667 -12.3913 information-seeking
0.916667 -12.3913 advocated
0.916667 -12.3913 23.4
0.151515 -12.3914 start
0.8125 -12.3914 subsumption
0.764706 -12.3915 likelihoods
0.488372 -12.3915 type-based
0.916667 -12.3916 carpenter
0.916667 -12.3916 count-min
0.857143 -12.3917 verb:
0.681818 -12.3917 sag
0.8125 -12.3917 saldo
0.916667 -12.3919 situational
0.916667 -12.3919 cleaner
0.916667 -12.3919 allophones
0.916667 -12.3925 all-link
0.916667 -12.3925 parallelized
0.916667 -12.3925 locked
0.916667 -12.3925 reimplemented
0.120219 -12.3925 position
0.916667 -12.3928 graph’s
0.916667 -12.3928 .17
0.916667 -12.3928 intact
0.916667 -12.3928 27.7
0.8125 -12.3929 unseen words
0.916667 -12.3931 2000,
0.0744235 -12.3933 association
0.916667 -12.3934 extrapolated
0.916667 -12.3934 sentimental
0.580645 -12.3934 learners.
0.580645 -12.3936 seventh
0.916667 -12.3937 claiming
0.916667 -12.3937 .23
0.916667 -12.3937 submodularity
0.916667 -12.3937 38.3
0.916667 -12.3937 corectly
0.64 -12.3939 lda+hellinger
0.681818 -12.3939 transactions on
0.916667 -12.3939 transformation-based
0.736842 -12.3941 interleaved
0.681818 -12.3941 susan
0.916667 -12.3942 (2008a)
0.916667 -12.3942 summarization:
0.916667 -12.3942 signature,
0.916667 -12.3942 i(j)
0.916667 -12.3942 equivalently
0.857143 -12.3944 (crammer et
0.857143 -12.3944 nih
0.916667 -12.3945 bonferroni
0.916667 -12.3945 word-topic
0.916667 -12.3945 (t,h)
0.916667 -12.3945 94.8
0.916667 -12.3945 semi-automatically
0.764706 -12.3946 (gildea
0.416667 -12.3946 can still
0.40625 -12.3949 (n
0.8125 -12.395 well-studied
0.8125 -12.395 cite
0.764706 -12.3951 al$yx
0.916667 -12.3951 mapreduce
0.916667 -12.3951 portal
0.916667 -12.3951 84.1
0.916667 -12.3951 (baccianella
0.857143 -12.3953 for clarity,
0.736842 -12.3953 in our experiments, we use
0.916667 -12.3954 mentioned above.
0.916667 -12.3954 matter,
0.916667 -12.3954 congruent
0.916667 -12.3954 nissim’s feature
0.916667 -12.3957 footnote
0.916667 -12.3957 88.8
0.916667 -12.3957 logically
0.916667 -12.3957 mm+
0.478261 -12.3958 holds for
0.409836 -12.3959 formulation of
0.247059 -12.3959 2011,
0.916667 -12.396 repetitive
0.916667 -12.396 compared,
0.916667 -12.396 boxed
0.212121 -12.3961 tags.
0.916667 -12.3963 schabes,
0.8125 -12.3963 1980).
0.681818 -12.3964 at:
0.916667 -12.3965 bypass
0.916667 -12.3965 imdb
0.857143 -12.3966 fa
0.681818 -12.3966 second experiment
0.336957 -12.3967 treebank,
0.916667 -12.3968 tag)
0.916667 -12.3971 254
0.916667 -12.3971 geo
0.916667 -12.3971 (syntactic
0.916667 -12.3971 concepts:
0.580645 -12.3973 locate
0.282443 -12.3974 vice
0.916667 -12.3974 gricean
0.916667 -12.3974 reproducing
0.764706 -12.3975 (denero
0.436364 -12.3975 higher accuracy
0.234375 -12.3975 we add
0.916667 -12.3977 periods,
0.916667 -12.3977 well:
0.916667 -12.3977 semantic relatedness.
0.916667 -12.3977 prlm-based
0.916667 -12.3977 essence
0.764706 -12.398 constraint:
0.916667 -12.398 complicate
0.916667 -12.398 l1-transfer
0.916667 -12.398 popularity,
0.916667 -12.398 convincing
0.916667 -12.398 cai
0.736842 -12.3981 decoding process
0.916667 -12.3983 2(a)
0.916667 -12.3983 wn,
0.916667 -12.3986 91.0
0.916667 -12.3986 statistical dialog
0.916667 -12.3986 exceeded
0.916667 -12.3986 compositionally
0.607143 -12.3987 [a
0.586207 -12.3988 include,
0.916667 -12.3989 munro
0.916667 -12.3989 reinforces
0.916667 -12.3989 threads,
0.916667 -12.3989 cbdf
0.916667 -12.3989 interestingly
0.18543 -12.399 removed
0.916667 -12.3991 10.0
0.478261 -12.3993 when dealing
0.916667 -12.3994 flp
0.916667 -12.3994 27.5
0.857143 -12.3996 (with no
0.857143 -12.3996 clips
0.217195 -12.3996 behind
0.764706 -12.3997 patwardhan
0.916667 -12.3997 (epi)
0.916667 -12.3997 30.7
0.580645 -12.3998 partially funded
0.764706 -12.3999 48.3
0.916667 -12.4 /d/
0.916667 -12.4 altering
0.736842 -12.4004 large vocabulary
0.916667 -12.4006 stripped
0.916667 -12.4006 this year’s
0.916667 -12.4006 uh
0.916667 -12.4006 beliefs,
0.916667 -12.4009 may,
0.916667 -12.4009 depiction
0.136283 -12.4009 2010),
0.736842 -12.4011 often contain
0.857143 -12.4012 marginalize
0.857143 -12.4012 low accuracy
0.607143 -12.4012 syntactic constraints
0.916667 -12.4012 lexicography,
0.764706 -12.4014 gaining
0.314286 -12.4015 our work is
0.916667 -12.4015 synonymy,
0.916667 -12.4015 66.4
0.916667 -12.4015 reasoning,
0.916667 -12.4015 organizing
0.916667 -12.4015 consent
0.0595399 -12.4017 pairs
0.586207 -12.4018 is replaced with
0.916667 -12.4018 folowed
0.586207 -12.402 indicate whether
0.764706 -12.4021 .94
0.916667 -12.4021 adjusts
0.916667 -12.4021 memorize
0.527778 -12.4023 and roth
0.916667 -12.4023 .09
0.916667 -12.4023 acquires
0.245614 -12.4024 a strong
0.857143 -12.4026 ceo
0.468085 -12.4026 data structure
0.916667 -12.4026 markert,
0.916667 -12.4026 shaping
0.916667 -12.4026 identify,
0.916667 -12.4029 ber
0.764706 -12.4031 55.6
0.7 -12.4032 high proportion
0.916667 -12.4032 60.3
0.916667 -12.4032 giga-fren
0.916667 -12.4032 tags)
0.916667 -12.4032 existed
0.916667 -12.4032 emergent
0.586207 -12.4033 source language,
0.242938 -12.4033 alignment.
0.271429 -12.4035 in fig.
0.916667 -12.4035 273
0.916667 -12.4035 (green
0.916667 -12.4035 causality,
0.857143 -12.4037 space:
0.764706 -12.4038 68.1
0.7 -12.4038 validation data
0.7 -12.4038 thrown
0.096861 -12.4039 provided
0.916667 -12.4041 porting
0.916667 -12.4041 27.0
0.368421 -12.4041 weights,
0.764706 -12.4045 decoders,
0.290323 -12.4046 walk
0.916667 -12.4047 edits-ga
0.916667 -12.4047 2011b)
0.368421 -12.4048 can make
0.542857 -12.4049 librarian
0.857143 -12.405 jing
0.916667 -12.405 11.0
0.916667 -12.405 27.2
0.681818 -12.4053 explanatory
0.916667 -12.4053 passonneau
0.916667 -12.4053 music,
0.916667 -12.4053 aplications
0.916667 -12.4053 267
0.736842 -12.4056 bracehtipupright
0.916667 -12.4056 nonterminal,
0.916667 -12.4056 1989),
0.916667 -12.4058 theoretically,
0.916667 -12.4058 hand-labeled
0.916667 -12.4058 gre
0.542857 -12.406 reproduce
0.916667 -12.4061 (target)
0.916667 -12.4061 judgment,
0.916667 -12.4061 canada,
0.916667 -12.4061 aligned,
0.916667 -12.4061 gnetic
0.916667 -12.4064 classifier;
0.916667 -12.4064 0.4%
0.916667 -12.4064 user profile
0.488372 -12.4065 scenarios.
0.64 -12.4067 forms:
0.916667 -12.4067 corrections,
0.916667 -12.4067 structures:
0.5625 -12.4069 us.
0.916667 -12.407 12.1
0.201581 -12.4072 organized
0.736842 -12.4072 dd
0.916667 -12.4073 psycholinguistics
0.916667 -12.4073 analyzers
0.916667 -12.4073 9.5
0.916667 -12.4076 placeholder
0.5 -12.4078 simplification.
0.736842 -12.4079 por
0.916667 -12.4079 nominalization
0.916667 -12.4079 initializer
0.916667 -12.4079 (having
0.916667 -12.4079 associativity
0.916667 -12.4082 ion
0.916667 -12.4082 berlin,
0.586207 -12.4085 have recently
0.916667 -12.4085 yih
0.916667 -12.4085 decomposition,
0.7 -12.4087 representation:
0.7 -12.4087 relatum
0.7 -12.4087 1k
0.916667 -12.4088 urdu,
0.916667 -12.4088 81.9
0.916667 -12.4088 trending
0.7 -12.409 event extraction,
0.916667 -12.4091 acros
0.916667 -12.4091 granted
0.916667 -12.4091 1984;
0.916667 -12.4091 12.8
0.477273 -12.4093 container
0.916667 -12.4094 i+
0.916667 -12.4094 subpart
0.736842 -12.4095 focussed
0.916667 -12.4096 zeman
0.916667 -12.4096 ¯t
0.736842 -12.4098 m-step
0.916667 -12.4099 pictures,
0.916667 -12.4099 49.7
0.615385 -12.41 transferring
0.764706 -12.4101 translations:
0.764706 -12.4101 planner
0.916667 -12.4102 mark-up
0.916667 -12.4105 detection/correction
0.380282 -12.4107 answers.
0.916667 -12.4108 worry
0.916667 -12.4108 secret
0.916667 -12.4108 glossary
0.916667 -12.4111 options:
0.916667 -12.4111 tractable,
0.916667 -12.4111 coder
0.916667 -12.4111 exponentially many
0.607143 -12.4112 3.3).
0.916667 -12.4114 1s
0.916667 -12.4114 swedish,
0.916667 -12.4114 toponym
0.45098 -12.4114 previous section
0.764706 -12.4116 .3
0.916667 -12.4117 trends,
0.916667 -12.4117 66.5
0.916667 -12.4117 91.5
0.916667 -12.412 humanitarian
0.916667 -12.412 joachims,
0.916667 -12.412 examined,
0.8 -12.412 oovs.
0.764706 -12.4121 cliques
0.736842 -12.4121 mean-field
0.736842 -12.4124 table 8.
0.285714 -12.4126 we calculate
0.615385 -12.4128 multi-task
0.652174 -12.4128 ryan
0.5625 -12.4132 surprising that
0.916667 -12.4132 5-point
0.916667 -12.4132 triplet
0.916667 -12.4135 synthesize
0.916667 -12.4135 (low
0.0580561 -12.4138 phrase
0.916667 -12.4138 (full
0.916667 -12.4138 basically,
0.916667 -12.4138 righthand
0.736842 -12.414 .76
0.916667 -12.4141 pp,
0.100195 -12.4141 focus
0.652174 -12.4141 shown,
0.586207 -12.4144 1989).
0.916667 -12.4144 semh
0.916667 -12.4144 subcorpora
0.736842 -12.4145 involvement
0.916667 -12.4146 cart
0.916667 -12.4146 activity,
0.916667 -12.4146 expresed
0.681818 -12.4147 textual information
0.204918 -12.4147 collect
0.258065 -12.4147 formed
0.442308 -12.4147 infix
0.764706 -12.4148 inter-coder
0.764706 -12.4148 f¨ur
0.916667 -12.4149 riezler
0.8 -12.4149 (hereafter
0.764706 -12.415 by hand.
0.8 -12.4151 mbrsc
0.219626 -12.4156 the training set
0.857143 -12.4157 seconds)
0.681818 -12.4158 roget
0.192029 -12.4158 a linear
0.916667 -12.4158 cipher,
0.764706 -12.416 28.1
0.681818 -12.416 turian et
0.916667 -12.4161 by chance.
0.916667 -12.4161 governors
0.916667 -12.4161 subject’s
0.764706 -12.4163 3for
0.916667 -12.4164 merger
0.916667 -12.4164 roark,
0.916667 -12.4164 dubey
0.158151 -12.4166 a similar
0.916667 -12.4167 s2,
0.916667 -12.4167 (ge)
0.916667 -12.4167 kit
0.545455 -12.4167 1990;
0.764706 -12.4168 pour
0.764706 -12.417 sch¨utze
0.916667 -12.417 nullnull,
0.64 -12.4174 bigram features
0.545455 -12.4174 file,
0.916667 -12.4176 trigger-argument
0.916667 -12.4176 efficient algorithms
0.857143 -12.4177 nullj
0.916667 -12.4179 rob
0.916667 -12.4179 plural,
0.916667 -12.4179 algorithm’s
0.916667 -12.4179 ontext
0.916667 -12.4179 increments
0.329787 -12.4181 are currently
0.916667 -12.4182 generative probabilistic model
0.916667 -12.4182 dimension-specific
0.916667 -12.4182 26.4
0.512821 -12.4182 bottleneck
0.64 -12.4184 principal
0.857143 -12.4185 88.9
0.736842 -12.4185 after adding
0.916667 -12.4185 interactions among
0.916667 -12.4185 worker’s
0.409836 -12.419 detail.
0.916667 -12.4191 too long
0.916667 -12.4191 century,
0.916667 -12.4191 interval,
0.764706 -12.4192 “john
0.7 -12.4193 summit
0.615385 -12.4193 we can observe
0.916667 -12.4194 burstein,
0.916667 -12.4194 farther
0.764706 -12.4195 three steps
0.64 -12.4195 evaluations on
0.477273 -12.4197 the lrscore
0.916667 -12.4197 one-vs-all
0.0723751 -12.4199 out
0.764706 -12.42 disgust,
0.764706 -12.42 marsi
0.283465 -12.42 concepts.
0.8 -12.42 (yu
0.857143 -12.4201 thus allowing
0.916667 -12.4203 19.2
0.916667 -12.4203 establishment
0.916667 -12.4206 comlex
0.916667 -12.4206 3a
0.413793 -12.4209 λ =
0.916667 -12.4209 1988)
0.916667 -12.4209 .11
0.7 -12.4211 translation pairs.
0.916667 -12.4211 rewrites
0.5625 -12.4216 seemed to
0.916667 -12.4217 main-clause
0.916667 -12.4217 ssr
0.916667 -12.4217 flows
0.26 -12.4218 summaries.
0.916667 -12.422 max-margin
0.615385 -12.4221 0.18
0.7 -12.4223 machine-generated
0.916667 -12.4223 qpdg
0.916667 -12.4223 investors
0.764706 -12.4225 (gao et
0.527778 -12.4225 technologies,
0.477273 -12.4226 r3
0.916667 -12.4226 answer:
0.916667 -12.4226 fork
0.857143 -12.4229 strength.
0.916667 -12.4229 (ds)
0.916667 -12.4229 hands
0.916667 -12.4229 newton’s
0.143434 -12.4231 assumption
0.44898 -12.4233 it consists of
0.916667 -12.4235 orca
0.916667 -12.4235 1982;
0.764706 -12.4239 dry
0.409836 -12.424 an annotated
0.189474 -12.4244 validation
0.8 -12.4244 66.9
0.488372 -12.4245 to eliminate
0.652174 -12.4246 to our knowledge, this
0.527778 -12.4247 7 conclusion we
0.916667 -12.4247 check,
0.916667 -12.4247 86.9
0.8 -12.4247 stil
0.369863 -12.4248 responses.
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1 -12.451 svms.
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1 -12.5564 afinitor she
1 -12.5564 say.
1 -12.5564 supportive
1 -12.5564 impractical.
1 -12.5564 laborious
1 -12.5564 fes.
1 -12.5564 voting.
1 -12.5564 million.
1 -12.5564 (tsuruoka
1 -12.5564 line).
1 -12.5564 hp/np
1 -12.5564 conscious
1 -12.5564 failure.
1 -12.5564 homotopy tracking
1 -12.5564 subtype.
1 -12.5564 medline.
1 -12.5564 nominated headline
1 -12.5564 diagram.
1 -12.5564 affected.
1 -12.5564 1a.
1 -12.5564 affinities
1 -12.5564 parts-of-speech.
1 -12.5564 windows.
1 -12.5564 interactivity
1 -12.5564 received.
1 -12.5564 encouraging.
1 -12.5564 clusterings.
1 -12.5564 (lm).
1 -12.5564 categories).
1 -12.5564 sentiwordnet 3.0
1 -12.5564 epsilon1.
1 -12.5564 well-founded
1 -12.5564 checking.
1 -12.5564 mallet (mccallum,
1 -12.5564 programs.
1 -12.5564 (platt
1 -12.5564 david chiang,
1 -12.5564 anger, fear,
1 -12.5564 weak.
1 -12.5564 d2.
1 -12.5564 prescription
1 -12.5564 segmented.
1 -12.5564 granularities.
1 -12.5564 textrank (mihalcea
1 -12.5564 listeners.
1 -12.5564 ibw plus
1 -12.5564 train.
1 -12.5564 4.3).
1 -12.5564 isr.
1 -12.5564 post-processing.
1 -12.5564 storage.
1 -12.5564 ramat-gan, israel
1 -12.5564 mismatches.
1 -12.5564 conjunctions.
1 -12.5564 gold.
1 -12.5564 typing.
1 -12.5564 hypernymy.
1 -12.5564 varieties.
1 -12.5564 easy.
1 -12.5564 grounding.
1 -12.5564 persons.
1 -12.5564 (206).
1 -12.5564 keys.
1 -12.5564 1%.
1 -12.5564 transcription.
1 -12.5564 adjacent.
1 -12.5564 taira
1 -12.5564 memorized
1 -12.5564 reactions.
1 -12.5564 state-of-art
1 -12.5564 sub lattices
1 -12.5564 deviant,
1 -12.5564 considerably.
1 -12.5564 body.
1 -12.5564 confusion.
1 -12.5564 grishman.
1 -12.5564 significant).
1 -12.5564 bitexts.
1 -12.5564 lexemes.
1 -12.5564 pool.
1 -12.5564 game-based
1 -12.5564 cognitive science,
1 -12.5564 apparent.
1 -12.5564 though.
1 -12.5564 side).
1 -12.5564 gestures.
1 -12.5564 hebrew.
1 -12.5564 preterminal.
1 -12.5564 perceptron.
1 -12.5564 performance).
1 -12.5564 diseases.
0.6 -12.5564 treetagger (schmid,
0.533333 -12.5565 informatics,
0.705882 -12.5567 reconstructed
0.833333 -12.5567 187
0.833333 -12.5567 document d.
0.9 -12.5568 today.
0.9 -12.5568 information).
0.9 -12.5568 drawbacks.
0.9 -12.5568 inflections,
0.9 -12.5568 japan.
0.9 -12.5568 binary.
0.9 -12.5568 combinatorial explosion
0.9 -12.5568 beforehand.
0.9 -12.5568 evaluation (lrec
0.9 -12.5568 hazard ratio
0.9 -12.5568 duc 2006
0.9 -12.5568 needing
0.9 -12.5568 share.
0.9 -12.5568 email.
0.9 -12.5568 row)
0.9 -12.5568 pp pp
0.9 -12.5568 lecture notes
0.9 -12.5568 cross-event inference
0.9 -12.5568 decreased.
0.9 -12.5568 facto
0.9 -12.5568 events).
0.9 -12.5568 conducted.
0.9 -12.5568 k-best lists.
0.9 -12.5568 column).
0.833333 -12.557 [vp
0.9 -12.5571 signal.
0.833333 -12.5573 241
0.9 -12.5574 artificial intelligence.
0.785714 -12.5574 three major
0.342105 -12.5575 remainder of this
0.705882 -12.5577 series,
0.9 -12.5578 talked about
0.9 -12.5581 so on).
0.9 -12.5581 multiword expression
0.684211 -12.5582 compliance
0.833333 -12.5582 wd
0.785714 -12.5583 an entity.
0.785714 -12.5583 β1
0.636364 -12.5583 court
0.9 -12.5584 (luo,
0.389831 -12.5584 reasons for
0.833333 -12.5585 biboot
0.833333 -12.5585 departing
0.369231 -12.5586 this procedure
0.608696 -12.5586 film
0.9 -12.5588 concept map
0.9 -12.5588 permuting
0.705882 -12.5588 71.8
0.551724 -12.5588 (top
0.236025 -12.5589 vectors.
0.833333 -12.5589 triangulation
0.9 -12.5591 (sutton
0.9 -12.5591 sutton
0.9 -12.5591 (table 1)
0.785714 -12.5592 pie
0.833333 -12.5592 188
0.705882 -12.5593 75.4
0.9 -12.5594 (guo
0.785714 -12.5595 8.5
0.65 -12.5595 action-value
0.9 -12.5598 (stymne,
0.833333 -12.5598 zh
0.785714 -12.56 51.6
0.9 -12.5601 lightly-supervised training
0.833333 -12.5601 animate
0.833333 -12.5601 analytical
0.705882 -12.5603 erotic
0.9 -12.5604 necessitating
0.833333 -12.5604 rochester
0.65 -12.5605 alan
0.684211 -12.5605 (m
0.377049 -12.5606 participants,
0.65 -12.5607 in nlp,
0.833333 -12.5607 waiting for
0.347222 -12.5608 our parser
0.785714 -12.5609 85.6
0.785714 -12.5609 signaled
0.785714 -12.5609 cv
0.9 -12.5611 unless otherwise
0.9 -12.5611 easy-to-read
0.9 -12.5615 equally,
0.9 -12.5615 difficult–to–read
0.9 -12.5615 shieber,
0.833333 -12.5616 conception
0.785714 -12.5618 4-class
0.392857 -12.562 each step
0.833333 -12.562 painted
0.9 -12.5621 narayanan,
0.9 -12.5621 1/3
0.636364 -12.5623 laws
0.9 -12.5625 conformity
0.9 -12.5625 yt(i)
0.9 -12.5625 curve,
0.9 -12.5625 lemmatize
0.833333 -12.5626 ord
0.5 -12.5627 total.
0.9 -12.5628 opposite direction.
0.9 -12.5628 matusov
0.684211 -12.5628 grid.
0.833333 -12.5629 lei
0.833333 -12.5629 question mark
0.0735115 -12.563 defined
0.9 -12.5631 isozaki
0.9 -12.5631 unsupervised self-trained
0.142529 -12.5635 except
0.705882 -12.5637 ),(
0.9 -12.5638 depths
0.157303 -12.5639 row
0.705882 -12.564 kernelized
0.9 -12.5641 {dpi,
0.9 -12.5641 1...n,
0.9 -12.5641 probabilistic synchronous
0.9 -12.5641 28.8
0.9 -12.5641 relaxation,
0.785714 -12.5641 plakias
0.785714 -12.5641 celikyilmaz
0.9 -12.5645 (izumi
0.785714 -12.5647 original numerical
0.833333 -12.5647 activate
0.9 -12.5648 sds,
0.9 -12.5651 repositories.
0.103912 -12.5653 frequent
0.608696 -12.5654 not allowed
0.9 -12.5655 future research,
0.9 -12.5655 auxiliary tasks
0.705882 -12.5656 text normalization
0.9 -12.5658 definitive
0.9 -12.5658 0.875
0.65 -12.5658 system).
0.608696 -12.5658 we also observe
0.785714 -12.5659 msnbc
0.4 -12.5659 partially supported
0.684211 -12.5661 an old
0.298969 -12.5661 the ith
0.9 -12.5662 114,501
0.9 -12.5662 maximum activation
0.833333 -12.5663 fight
0.9 -12.5665 as previously mentioned,
0.9 -12.5665 googleweb
0.9 -12.5665 bwsa
0.636364 -12.5666 fields.
0.833333 -12.5666 nowadays,
0.9 -12.5668 programing
0.9 -12.5668 0.625
0.9 -12.5668 total),
0.392857 -12.5669 lrscore
0.9 -12.5672 aftermath
0.9 -12.5672 11.2
0.9 -12.5672 (in addition
0.9 -12.5672 bibtex
0.833333 -12.5672 2006):
0.705882 -12.5674 annotation process.
0.533333 -12.5674 (miller
0.9 -12.5675 annotation guidelines.
0.9 -12.5675 normalisation rules
0.9 -12.5675 described earlier.
0.833333 -12.5676 multiplier
0.9 -12.5678 benefits
0.9 -12.5678 2/3
0.833333 -12.5679 251
0.705882 -12.568 (bangalore
0.65 -12.5682 62.9
0.65 -12.5682 pos-tagger
0.684211 -12.5682 rappoport,
0.785714 -12.5683 running example
0.515152 -12.5683 and moschitti,
0.9 -12.5685 referring expressions,
0.9 -12.5685 ?;
0.9 -12.5685 (aho
0.833333 -12.5685 e′
0.833333 -12.5685 exponentially large
0.434783 -12.5687 include:
0.608696 -12.5688 .98
0.608696 -12.569 0.31
0.785714 -12.5691 br87
0.833333 -12.5691 (same
0.9 -12.5692 mutual information (mi)
0.9 -12.5692 0.25,
0.9 -12.5692 m¨oller
0.9 -12.5695 (di
0.9 -12.5695 tailor
0.9 -12.5695 computer-generated
0.9 -12.5695 consume
0.9 -12.5695 interrupt
0.9 -12.5695 unedited
0.251799 -12.5696 occurred
0.9 -12.5699 0.337
0.555556 -12.5699 section 3.1
0.205742 -12.5699 nor
0.230303 -12.5702 grammar.
0.9 -12.5702 90.8
0.9 -12.5702 problem;
0.9 -12.5702 english→french
0.9 -12.5702 similarity)
0.9 -12.5702 0.390
0.9 -12.5702 gispert
0.9 -12.5702 factive
0.9 -12.5702 pos)
0.9 -12.5702 sacrifice
0.9 -12.5702 self-paced
0.9 -12.5702 analysis)
0.785714 -12.5703 67.3
0.463415 -12.5704 unigrams,
0.9 -12.5705 0.278
0.9 -12.5705 attributing
0.9 -12.5705 english→german
0.9 -12.5705 bypassing
0.9 -12.5705 treelets,
0.9 -12.5705 advantage,
0.9 -12.5705 re-use
0.347222 -12.5705 polarity.
0.9 -12.5709 harms
0.9 -12.5709 (quinlan,
0.785714 -12.5709 electrical
0.833333 -12.571 cy
0.9 -12.5712 cpl
0.9 -12.5712 (see table 1)
0.9 -12.5712 (mimno
0.9 -12.5712 relevancy
0.9 -12.5716 parsing-based
0.833333 -12.5716 prosodic break
0.833333 -12.5716 systematic comparison
0.9 -12.5719 (sennrich,
0.9 -12.5719 transfer-based
0.9 -12.5719 yangarber
0.9 -12.5719 cucerzan
0.515152 -12.572 dependency treebank
0.785714 -12.5721 an attractive
0.785714 -12.5721 4-grams
0.9 -12.5722 two-thirds
0.9 -12.5722 93.8
0.9 -12.5722 23.3
0.9 -12.5722 grammaticality improvement
0.9 -12.5722 29.8
0.705882 -12.5722 1 million
0.321429 -12.5723 6.3
0.785714 -12.5724 normalized,
0.9 -12.5726 sx
0.321429 -12.5726 p2
0.9 -12.5729 beams
0.9 -12.5729 unification-based
0.576923 -12.5729 topic shift
0.9 -12.5732 kuhn,
0.9 -12.5732 shiftreduce
0.9 -12.5732 tracked
0.533333 -12.5732 agent’s
0.785714 -12.5733 as expected.
0.705882 -12.5733 section 3.1).
0.176678 -12.5735 next,
0.9 -12.5736 sfc
0.785714 -12.5736 arg1,
0.785714 -12.5736 eeg
0.321429 -12.5736 both of these
0.186508 -12.5736 process,
0.116641 -12.5737 likely to
0.9 -12.5739 correlating
0.9 -12.5739 strengthens
0.9 -12.5739 berant
0.608696 -12.574 till
0.9 -12.5743 kindly
0.9 -12.5743 (gamon
0.9 -12.5743 anchors,
0.576923 -12.5743 bcubed
0.9 -12.5746 32k
0.9 -12.5746 (hoang
0.9 -12.5746 (chandrasekar
0.65 -12.5748 guideline
0.9 -12.5749 error-prone
0.9 -12.5749 mdi
0.9 -12.5749 53.1
0.452381 -12.5749 feature:
0.288462 -12.5751 japan
0.833333 -12.5751 (unlike
0.833333 -12.5751 respondents
0.833333 -12.5751 eisner, 2009)
0.230303 -12.5753 an input
0.9 -12.5753 upper stage
0.9 -12.5753 senmpqa
0.9 -12.5753 treebank-style
0.9 -12.5753 less,
0.785714 -12.5753 telic
0.705882 -12.5754 for deriving
0.9 -12.5756 (qa)
0.9 -12.5756 l-types
0.9 -12.5756 distinction,
0.9 -12.5756 53.2
0.533333 -12.5758 fragment.
0.9 -12.576 coecke
0.288462 -12.5765 reliability of
0.705882 -12.5765 macro-average
0.9 -12.5766 lsa-based
0.9 -12.5766 shriberg
0.9 -12.5766 84.3
0.9 -12.5766 styles,
0.9 -12.5766 61.9
0.9 -12.5766 22.7
0.9 -12.5766 (choi
0.9 -12.5766 4,000
0.9 -12.577 bolh
0.9 -12.5773 turntaking
0.9 -12.5773 target-independent
0.9 -12.5773 revu-nl
0.515152 -12.5773 we noticed
0.411765 -12.5775 we measured
0.608696 -12.5775 classification tasks.
0.9 -12.5777 memes
0.9 -12.578 resident
0.9 -12.578 sub-sequence
0.411765 -12.5782 mention,
0.9 -12.5783 yr
0.9 -12.5787 88.3
0.9 -12.5787 start/end
0.9 -12.5787 schone
0.9 -12.5787 efort
0.785714 -12.5789 bruce
0.833333 -12.5789 clausal
0.9 -12.579 2009)),
0.9 -12.579 yij
0.9 -12.579 beukelman
0.9 -12.579 (callison-burch,
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0.576923 -12.5793 phd
0.9 -12.5794 84.7
0.9 -12.5794 selling
0.9 -12.5794 argument’s
0.9 -12.5797 copestake,
0.9 -12.5797 utterance’s
0.9 -12.5797 0.843
0.9 -12.5797 system-user
0.9 -12.5797 highest-ranked
0.705882 -12.5797 manchester
0.785714 -12.5798 bart
0.9 -12.5801 backed
0.9 -12.5801 (koller
0.9 -12.5801 deep parser
0.9 -12.5801 grammar’s
0.9 -12.5801 computable
0.785714 -12.5801 analyzer,
0.833333 -12.5801 medco
0.9 -12.5804 17.4
0.9 -12.5804 n-gram posterior
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0.833333 -12.5804 abandoned
0.9 -12.5807 yuret,
0.9 -12.5807 rule extraction,
0.9 -12.5807 grounding,
0.9 -12.5807 wh-question
0.358209 -12.5807 transducer
0.9 -12.5811 typed,
0.9 -12.5811 “o”
0.9 -12.5811 conventionally
0.833333 -12.5811 two stages.
0.9 -12.5814 eigenvalue
0.9 -12.5814 nontrivial
0.9 -12.5814 guesser
0.833333 -12.5814 vad
0.785714 -12.5816 anticipation
0.9 -12.5818 (nakagawa
0.9 -12.5818 .79
0.370968 -12.582 purposes of
0.9 -12.5821 gramatical
0.9 -12.5821 plausibly
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0.9 -12.5821 (st)
0.833333 -12.5823 on:
0.9 -12.5824 ctb5
0.9 -12.5824 43.2
0.9 -12.5824 challenges:
0.9 -12.5824 inexact
0.403846 -12.5826 person.
0.9 -12.5828 memm
0.9 -12.5828 (1,
0.302083 -12.5832 were trained
0.234177 -12.5832 2001).
0.576923 -12.5832 5 times
0.9 -12.5835 73.6
0.9 -12.5835 copy-free
0.833333 -12.5836 5.3.1
0.9 -12.5838 understand,
0.9 -12.5838 advance,
0.733333 -12.5839 gapped
0.9 -12.5842 pos-tagging,
0.785714 -12.5843 < 0.05).
0.576923 -12.5843 appearance
0.733333 -12.5845 p10
0.9 -12.5845 closure,
0.9 -12.5845 lexicosyntactic
0.9 -12.5845 arsl
0.785714 -12.5846 tectomt
0.9 -12.5848 re-ordering
0.9 -12.5848 winston
0.9 -12.5848 postulate
0.9 -12.5848 restaurants
0.9 -12.5848 32-bit
0.9 -12.5848 steady
0.785714 -12.5849 maximum,
0.0478067 -12.585 however,
0.9 -12.5852 complexes
0.9 -12.5852 17.7
0.9 -12.5852 foundational
0.785714 -12.5852 null1,
0.9 -12.5855 574
0.9 -12.5855 57.4
0.9 -12.5855 markup,
0.9 -12.5855 maps,
0.9 -12.5859 54.4
0.9 -12.5859 cost estimation
0.298969 -12.5859 they use
0.329114 -12.586 been developed
0.705882 -12.5861 existing resources
0.9 -12.5862 conclusion:
0.9 -12.5862 wordnet.ptglobal
0.9 -12.5862 consistently,
0.9 -12.5862 negotiate
0.9 -12.5862 min,
0.9 -12.5862 state-action
0.176895 -12.5865 annotation.
0.833333 -12.5865 (available
0.9 -12.5866 alignilp
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0.358209 -12.5866 contributes
0.785714 -12.5867 approximate search
0.833333 -12.5868 automatically parsed
0.833333 -12.5868 more details on
0.833333 -12.5868 rmse
0.9 -12.5869 researched
0.9 -12.5869 well;
0.9 -12.5869 2.3%
0.9 -12.5869 signing
0.833333 -12.5871 computer generated
0.9 -12.5872 obtainable
0.9 -12.5872 quote/response
0.9 -12.5872 92.6
0.9 -12.5872 dual-classifier
0.9 -12.5872 87.2
0.9 -12.5872 normalise
0.452381 -12.5872 categorial
0.434783 -12.5873 serve as a
0.0631579 -12.5875 could
0.325 -12.5875 novel approach
0.9 -12.5876 29.7
0.9 -12.5876 negation/speculation
0.833333 -12.5877 219
0.44186 -12.5878 they contain
0.9 -12.5879 bilingually
0.9 -12.5879 rayson
0.329114 -12.588 quantify
0.234177 -12.588 table 1,
0.733333 -12.5881 tweet:
0.608696 -12.5881 zhu,
0.9 -12.5883 bold,
0.9 -12.5883 favoring
0.65 -12.5884 natural,
0.533333 -12.5884 own.
0.833333 -12.5884 medical language
0.833333 -12.5884 randomly sample
0.9 -12.5886 85.1
0.833333 -12.5887 the advent
0.9 -12.589 distribution;
0.9 -12.589 bk
0.9 -12.589 (1996),
0.733333 -12.5893 pyysalo
0.9 -12.5893 convergent
0.833333 -12.5893 est
0.833333 -12.5893 adaboost
0.65 -12.5894 performance, but
0.9 -12.5897 extract,
0.9 -12.59 gates
0.9 -12.59 inc.,
0.9 -12.59 sauper
0.9 -12.59 oovs,
0.785714 -12.59 weapons
0.485714 -12.59 composition.
0.733333 -12.5901 did.
0.44186 -12.5901 consequence of
0.9 -12.5903 categorisation
0.9 -12.5903 44.1
0.9 -12.5903 snippets,
0.9 -12.5903 infixes
0.9 -12.5903 sorted list
0.9 -12.5907 24.0
0.209184 -12.5907 illustrates
0.733333 -12.5909 18,
0.533333 -12.5909 associates
0.833333 -12.5909 source:
0.9 -12.591 glarf
0.9 -12.591 content-expert
0.608696 -12.5912 govern
0.9 -12.5914 subjects’
0.9 -12.5914 permissive
0.9 -12.5914 (co)
0.9 -12.5914 65.3
0.9 -12.5914 re-estimation
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0.155367 -12.5914 we propose a
0.65 -12.5914 src
0.785714 -12.5915 president,
0.9 -12.5917 (platt,
0.9 -12.5917 pauls
0.9 -12.5917 confounding
0.205882 -12.5918 distance between
0.304348 -12.5919 future work, we
0.452381 -12.5919 7).
0.555556 -12.592 n+1
0.733333 -12.5921 proves that
0.9 -12.5921 reader’s
0.9 -12.5921 83.6
0.9 -12.5921 ewtm
0.9 -12.5921 evert
0.9 -12.5921 micro-averaged accuracy
0.9 -12.5921 (nakov
0.785714 -12.5921 extra information
0.833333 -12.5922 l1,
0.833333 -12.5922 lsa,
0.833333 -12.5922 ruppenhofer
0.9 -12.5924 fusing
0.9 -12.5924 4.3)
0.9 -12.5924 twenty-five
0.833333 -12.5925 (fan et
0.785714 -12.5927 i−
0.261905 -12.5927 rule.
0.576923 -12.5927 stack,
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0.9 -12.5928 (porter,
0.9 -12.5928 (β
0.9 -12.5931 proprietary
0.9 -12.5931 roles:
0.261905 -12.5931 probability.
0.785714 -12.5933 (among
0.9 -12.5935 23.6
0.425532 -12.5935 projecting
0.9 -12.5938 0.404
0.9 -12.5938 an extensible
0.9 -12.5938 sentiment)
0.9 -12.5938 (solid
0.833333 -12.5938 accepted,
0.785714 -12.5939 52.3
0.65 -12.5939 τb
0.177778 -12.5939 the test set
0.9 -12.5941 taskar
0.9 -12.5941 bulb
0.9 -12.5941 transitive,
0.9 -12.5941 56.3
0.9 -12.5945 81.4
0.9 -12.5945 product reviews,
0.9 -12.5945 tang
0.9 -12.5945 tures
0.9 -12.5945 unnecessarily
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0.888889 -12.682 39.4
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0.888889 -12.682 0.737
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0.769231 -12.6891 normalizer
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0.117544 -12.6894 implementation
0.888889 -12.6895 canceled
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0.888889 -12.6899 q+l+g
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0.818182 -12.6901 39.0
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0.32 -12.6904 testing,
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0.6875 -12.6906 gothic
0.28125 -12.6908 word’s
0.565217 -12.6908 3.2.2
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0.888889 -12.6918 speaker-specific
0.888889 -12.6918 seamlessly
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0.888889 -12.6918 0.308
0.484848 -12.6919 nw
0.565217 -12.692 primary evaluation
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0.888889 -12.6921 38.6
0.888889 -12.6921 32.9
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0.818182 -12.6922 low:
0.888889 -12.6925 5.5%
0.888889 -12.6925 0.826
0.818182 -12.6926 bullets,
0.34375 -12.6926 giza++ (och
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0.818182 -12.6929 (xi,xj)
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0.769231 -12.6933 benefit
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0.888889 -12.6933 0.350
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0.631579 -12.6933 73.3
0.818182 -12.6936 steyvers
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0.888889 -12.6936 0.676
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0.888889 -12.6936 encountering
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0.888889 -12.694 inter-punctuation
0.888889 -12.694 (vilain
0.888889 -12.694 (paul
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0.888889 -12.694 dataset)
0.349206 -12.6941 these experiments
0.295455 -12.6942 human language
0.818182 -12.6943 334
0.418605 -12.6943 how can
0.28 -12.6944 reference.
0.888889 -12.6944 multi-task learning
0.888889 -12.6944 wordnet’s
0.6875 -12.6944 [a1,a2]
0.888889 -12.6948 27.4
0.888889 -12.6948 realization,
0.888889 -12.6948 skill
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0.888889 -12.6948 386
0.888889 -12.6948 fillmore,
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0.769231 -12.6963 49.9
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0.888889 -12.6982 90.20
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0.888889 -12.7009 10.6
0.888889 -12.7009 necesary
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0.769231 -12.7012 2;
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0.769231 -12.7042 jigsaw
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0.6 -12.7054 disabilities
0.647059 -12.7057 80.6
0.888889 -12.7058 exchangeability
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0.888889 -12.7066 germanc-gs
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0.0684597 -12.7091 this paper
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0.6 -12.7093 69.5
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0.888889 -12.7096 scu
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0.304878 -12.7097 section 2.
0.769231 -12.7098 gregory
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