SummScreen: A Dataset for Abstractive Screenplay Summarization
Mingda Chen, Zewei Chu, Sam Wiseman, Kevin Gimpel.
Preprint, 2021.

Unsupervised Label Refinement Improves Dataless Text Classification
Zewei Chu, Karl Stratos, Kevin Gimpel.
Findings of ACL, 2021. Code and Data

NatCat: Weakly Supervised Text Classification with Naturally Annotated Datasets
Zewei Chu, Karl Stratos, Kevin Gimpel.
AKBC, 2021. Code and Data. arXiv

Mining Knowledge for Natural Language Inference from Wikipedia Categories
Mingda Chen*, Zewei Chu*, Karl Stratos, Kevin Gimpel.
(*: equal contribution)
Findings of EMNLP, 2020. Code and Data

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.
(*: equal contribution)
AAAI, 2020. Code and Data

EntEval: A Holistic Evaluation Benchmark for Entity Representations
Mingda Chen*, Zewei Chu*, Yang Chen, Karl Stratos, Kevin Gimpel.
(*: equal contribution)
EMNLP, 2019. Code and Data

Evaluation benchmarks and learning criteria for discourse-aware sentence representations
Mingda Chen*, Zewei Chu*, Kevin Gimpel.
(*: equal contribution)
EMNLP, 2019. Code and Data

PoMo: Generating Entity-Specific Post-Modifiers in Context
Jun Seok Kang, Robert L. Logan IV, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian.
NAACL, 2019. Code and Data

Broad Context Language Modeling as Reading Comprehension
Zewei Chu, Hai Wang, Kevin Gimpel, David McAllester.
EACL, 2017.

Scrap Your Boilerplate with Object Algebras
Haoyuan Zhang, Zewei Chu, Bruno C. d. S. Oliveira, Tijs van der Storm.
OOPSLA, 2015.

Ph.D. Thesis: On Learning and Applying Text Representations
The University of Chicago, 2020.