
Mingda Chen
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2020 – today
- 2020
- [c10]Zewei Chu, Mingda Chen, Jing Chen, Miaosen Wang, Kevin Gimpel, Manaal Faruqui, Xiance Si:
How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions. AAAI 2020: 7586-7593 - [c9]Mingda Chen, Zewei Chu, Karl Stratos, Kevin Gimpel:
Mining Knowledge for Natural Language Inference from Wikipedia Categories. EMNLP (Findings) 2020: 3500-3511 - [c8]Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut:
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. ICLR 2020 - [c7]Mingda Chen, Kevin Gimpel:
Learning Probabilistic Sentence Representations from Paraphrases. RepL4NLP@ACL 2020: 17-23 - [i12]Mingda Chen, Kevin Gimpel:
Learning Probabilistic Sentence Representations from Paraphrases. CoRR abs/2005.08105 (2020) - [i11]Mingda Chen, Zewei Chu, Karl Stratos, Kevin Gimpel:
Mining Knowledge for Natural Language Inference from Wikipedia Categories. CoRR abs/2010.01239 (2020) - [i10]Mingda Chen, Sam Wiseman, Kevin Gimpel:
Controllable Paraphrasing and Translation with a Syntactic Exemplar. CoRR abs/2010.05856 (2020) - [i9]Mingda Chen, Sam Wiseman, Kevin Gimpel:
Generating Wikipedia Article Sections from Diverse Data Sources. CoRR abs/2012.14919 (2020)
2010 – 2019
- 2019
- [c6]Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel:
Controllable Paraphrase Generation with a Syntactic Exemplar. ACL (1) 2019: 5972-5984 - [c5]Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel:
EntEval: A Holistic Evaluation Benchmark for Entity Representations. EMNLP/IJCNLP (1) 2019: 421-433 - [c4]Mingda Chen, Zewei Chu, Kevin Gimpel:
Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations. EMNLP/IJCNLP (1) 2019: 649-662 - [c3]Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel:
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. NAACL-HLT (1) 2019: 2453-2464 - [i8]Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel:
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. CoRR abs/1904.01173 (2019) - [i7]Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel:
Controllable Paraphrase Generation with a Syntactic Exemplar. CoRR abs/1906.00565 (2019) - [i6]Mingda Chen, Kevin Gimpel:
Smaller Text Classifiers with Discriminative Cluster Embeddings. CoRR abs/1906.09532 (2019) - [i5]Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel:
Variational Sequential Labelers for Semi-Supervised Learning. CoRR abs/1906.09535 (2019) - [i4]Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel:
EntEval: A Holistic Evaluation Benchmark for Entity Representations. CoRR abs/1909.00137 (2019) - [i3]Mingda Chen, Zewei Chu, Kevin Gimpel:
Evaluation Benchmarks and Learning Criteriafor Discourse-Aware Sentence Representations. CoRR abs/1909.00142 (2019) - [i2]Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut:
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. CoRR abs/1909.11942 (2019) - [i1]Zewei Chu, Mingda Chen, Jing Chen, Miaosen Wang, Kevin Gimpel, Manaal Faruqui, Xiance Si:
How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions. CoRR abs/1911.09247 (2019) - 2018
- [c2]Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel:
Variational Sequential Labelers for Semi-Supervised Learning. EMNLP 2018: 215-226 - [c1]Mingda Chen, Kevin Gimpel:
Smaller Text Classifiers with Discriminative Cluster Embeddings. NAACL-HLT (2) 2018: 739-745
Coauthor Index

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