activity
20192021
most citedSG-Net: Syntax Guided Transformer for Language Representation

4 citations · 5 across the 4 of their papers we have counts for

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Showing cs.CLShow all

9 papers · 1 filter

cs.CL2021

Head-driven Phrase Structure Parsing in O() Time Complexity

Zuchao Li, Junru Zhou, Hai Zhao +1

Constituent and dependency parsing, the two classic forms of syntactic parsing, have been found to benefit from joint training and decoding under a uniform formalism, Head-driven P…

cs.CL20214 cited

SG-Net: Syntax Guided Transformer for Language Representation

Zhuosheng Zhang, Yuwei Wu, Junru Zhou +3

Understanding human language is one of the key themes of artificial intelligence. For language representation, the capacity of effectively modeling the linguistic knowledge from th…

cs.CL20201 cited

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…

cs.CL2019

Dependency and Span, Cross-Style Semantic Role Labeling on PropBank and NomBank

Zuchao Li, Hai Zhao, Junru Zhou +2

The latest developments in neural semantic role labeling (SRL) have shown great performance improvements with both the dependency and span formalisms/styles. Although the two style…

cs.CL2019

LIMIT-BERT : Linguistic Informed Multi-Task BERT

Junru Zhou, Zhuosheng Zhang, Hai Zhao +1

In this paper, we present a Linguistic Informed Multi-Task BERT (LIMIT-BERT) for learning language representations across multiple linguistic tasks by Multi-Task Learning (MTL). LI…

cs.CL2019

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…