37 citations · 84 across the 5 of their papers we have counts for
5 papers · 1 filter
Semantics-Aware Inferential Network for Natural Language Understanding
Shuailiang Zhang, Hai Zhao, Junru Zhou
For natural language understanding tasks, either machine reading comprehension or natural language inference, both semantics-aware and inference are favorable features of the conce…
Concurrent Parsing of Constituency and Dependency
Junru Zhou, Shuailiang Zhang, Hai Zhao
Constituent and dependency representation for syntactic structure share a lot of linguistic and computational characteristics, this paper thus makes the first attempt by introducin…
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…
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…
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…