Text Generation

• Improving In-Context Few-Shot Learning via Self-Supervised Training
  Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva
  Proceedings of NAACL, 2022
  [arXiv]

• TVRecap: A Dataset for Generating Stories with Character Descriptions
  Mingda Chen, Kevin Gimpel
  [arXiv][Data]

• SummScreen: A Dataset for Abstractive Screenplay Summarization
  Mingda Chen, Zewei Chu, Sam Wiseman, Kevin Gimpel
  Proceedings of ACL, 2022
  [arXiv][Data]

• Exemplar-Controllable Paraphrasing and Translation using Bitext
  Mingda Chen, Sam Wiseman, Kevin Gimpel
  [arXiv][Data]

• WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections
  Mingda Chen, Sam Wiseman, Kevin Gimpel
  Findings of ACL, 2021
  [arXiv][Code][BibTex]

• Controllable Paraphrase Generation with a Syntactic Exemplar
  Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel
  Proceedings of ACL, 2019
  [arXiv][Poster][Code][Train and Eval Data][BibTex]

Representation Learning

• Mining Knowledge for Natural Language Inference from Wikipedia Categories
  Mingda Chen,* Zewei Chu,* Karl Stratos, Kevin Gimpel
  Findings of EMNLP, 2020
  [arXiv][Code][BibTex]

• Learning Probabilistic Sentence Representations from Paraphrases
  Mingda Chen, Kevin Gimpel
  Proceedings of RepL4NLP at ACL, 2020 (short)
  [arXiv][Slides][BibTex]

• ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
  Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut
  Proceedings of ICLR, 2020 (spotlight)
  [arXiv][Code][BibTex]

• EntEval: A Holistic Evaluation Benchmark for Entity Representations
  Mingda Chen,* Zewei Chu,* Yang Chen, Karl Stratos, Kevin Gimpel
  Proceedings of EMNLP, 2019
  [arXiv][Poster][Code][BibTex]

• Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations
  Mingda Chen,* Zewei Chu,* Kevin Gimpel
  Proceedings of EMNLP, 2019 (oral)
  [arXiv][Slides][Code][BibTex]

Neural Latent-Variable Models

• A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations
  Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel
  Proceedings of NAACL-HLT, 2019
  [arXiv][Poster][1-Minute Slides][Code][Train Data][Eval Data][BibTex]

• Variational Sequential Labelers for Semi-Supervised Learning
  Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel
  Proceedings of EMNLP, 2018 (oral)
  [PDF][Supp][Slides][Code][BibTex]

• Smaller Text Classifiers with Discriminative Cluster Embeddings
  Mingda Chen, Kevin Gimpel
  Proceedings of NAACL-HLT, 2018 (short)
  [PDF][Poster][Code][BibTex]

Other NLP Applications

• How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions
  Zewei Chu, Mingda Chen,* Jing Chen,* Miaosen Wang,* Kevin Gimpel, Manaal Faruqui, Xiance Si
  Proceedings of AAAI, 2020 (oral)
  [arXiv][Data][BibTex]