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]