Hai Wang

11 papers A* 1B 2Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2019 B conf
Evidence Sentence Extraction for Machine Reading Comprehension.
CoNLL
Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, David A. McAllester, Dan Roth
2019 J jnl
Evidence Sentence Extraction for Machine Reading Comprehension.
CoRR
Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, Dan Roth, David A. McAllester
2019 B conf
Improving Pre-Trained Multilingual Model with Vocabulary Expansion.
CoNLL
Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu
2019 J jnl
Improving Pre-Trained Multilingual Models with Vocabulary Expansion.
CoRR
Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu
2017 — conf
Broad Context Language Modeling as Reading Comprehension.
EACL (2)
Zewei Chu, Hai Wang, Kevin Gimpel, David A. McAllester
2017 — conf
Emergent Predication Structure in Hidden State Vectors of Neural Readers.
Rep4NLP@ACL
Hai Wang, Takeshi Onishi, Kevin Gimpel, David A. McAllester
2016 J jnl
Broad Context Language Modeling as Reading Comprehension.
CoRR
Zewei Chu, Hai Wang, Kevin Gimpel, David A. McAllester
2016 J jnl
Emergent Logical Structure in Vector Representations of Neural Readers.
CoRR
Hai Wang, Takeshi Onishi, Kevin Gimpel, David A. McAllester
2016 A* conf
Who did What: A Large-Scale Person-Centered Cloze Dataset.
EMNLP
Takeshi Onishi, Hai Wang, Mohit Bansal, Kevin Gimpel, David A. McAllester
2016 J jnl
Who did What: A Large-Scale Person-Centered Cloze Dataset.
CoRR
Takeshi Onishi, Hai Wang, Mohit Bansal, Kevin Gimpel, David A. McAllester
2015 — conf
Machine Comprehension with Syntax, Frames, and Semantics.
ACL (2)
Hai Wang, Mohit Bansal, Kevin Gimpel, David A. McAllester