Mingda Chen PhD Candidate Toyota Technological Institute at Chicago 6045 S Kenwood Ave, Chicago, IL, 60637 Email: mchen [at] ttic [dot] edu [CV (as of July 2020)] [Google Scholar]

About

I am a 5th-year PhD student at Toyota Technological Institute at Chicago advised by Prof. Kevin Gimpel. I received my BS in Applied Math from Zhejiang University in 2015.

My research focuses on machine learning and natural language processing. Particularly, I have worked on disent­angled represen­tations of natrual language, long-form text generation, and language model pretraining.

I am supported by a Google PhD Fellowship.

Publications and Preprints

* indicates equal contribution

2021

• SummScreen: A Dataset for Abstractive Screenplay Summarization
  Mingda Chen, Zewei Chu, Sam Wiseman, Kevin Gimpel
  Arxiv
  [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]

2020

• Controllable Paraphrasing and Translation with a Syntactic Exemplar
  Mingda Chen, Sam Wiseman, Kevin Gimpel
  Arxiv
  [arXiv]

• 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]

• 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]

2019

• 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]

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

• 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
  [PDF][Poster][1-Minute Slides][Code][Train Data][Eval Data][BibTex]

2018

• 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]