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2012.15837
Cited By

Using Natural Language Relations between Answer Choices for Machine
Comprehension

Using Natural Language Relations between Answer Choices for Machine Comprehension

North American Chapter of the Association for Computational Linguistics (NAACL), 2019

31 December 2020

Rajkumar Pujari

ArXiv (abs)PDF HTML

Papers citing "Using Natural Language Relations between Answer Choices for Machine Comprehension"

4 / 4 papers shown

Using contradictions improves question answering systems

Using contradictions improves question answering systemsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022

Étienne Fortier-Dubois

305

0

0

28 Sep 2022

Improving Machine Reading Comprehension with Contextualized Commonsense
Knowledge

Improving Machine Reading Comprehension with Contextualized Commonsense KnowledgeAnnual Meeting of the Association for Computational Linguistics (ACL), 2020

Dian Yu

Dong Yu

348

12

0

12 Sep 2020

Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop
Question Answering

Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL), 2020

Vikas Yadav

297

54

0

04 May 2020

Dual Co-Matching Network for Multi-choice Reading Comprehension

Dual Co-Matching Network for Multi-choice Reading Comprehension

Shuailiang Zhang

Zhuosheng Zhang

364

136

0

27 Jan 2019

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