most citedDual Co-Matching Network for Multi-choice Reading Comprehension

37 citations · 112 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2020★ 9 cited

Filling the Gap of Utterance-aware and Speaker-aware Representation for Multi-turn Dialogue

Longxiang Liu, Zhuosheng Zhang, Hai Zhao +2

A multi-turn dialogue is composed of multiple utterances from two or more different speaker roles. Thus utterance- and speaker-aware clues are supposed to be well captured in model…

cs.CL2020★ 2 cited

Composing Answer from Multi-spans for Reading Comprehension

Zhuosheng Zhang, Yiqing Zhang, Hai Zhao +2

This paper presents a novel method to generate answers for non-extraction machine reading comprehension (MRC) tasks whose answers cannot be simply extracted as one span from the gi…

cs.CL2019★ 24 cited

Semantics-aware BERT for Language Understanding

Zhuosheng Zhang, Yuwei Wu, Hai Zhao +4

The latest work on language representations carefully integrates contextualized features into language model training, which enables a series of success especially in various machi…

cs.CL2019★ 22 cited

DCMN+: Dual Co-Matching Network for Multi-choice Reading Comprehension

Shuailiang Zhang, Hai Zhao, Yuwei Wu +3

Multi-choice reading comprehension is a challenging task to select an answer from a set of candidate options when given passage and question. Previous approaches usually only calcu…

cs.CL2019★ 18 cited

Dependency or Span, End-to-End Uniform Semantic Role Labeling

Zuchao Li, Shexia He, Hai Zhao +4

Semantic role labeling (SRL) aims to discover the predicateargument structure of a sentence. End-to-end SRL without syntactic input has received great attention. However, most of t…

cs.CL2019★ 37 cited

Dual Co-Matching Network for Multi-choice Reading Comprehension

Shuailiang Zhang, Hai Zhao, Yuwei Wu +3

Multi-choice reading comprehension is a challenging task that requires complex reasoning procedure. Given passage and question, a correct answer need to be selected from a set of c…