no code implementations • CL (ACL) 2021 • Zuchao Li, Hai Zhao, Shexia He, Jiaxun Cai
Semantic role labeling (SRL) is dedicated to recognizing the semantic predicate-argument structure of a sentence.
no code implementations • 7 Nov 2019 • Zuchao Li, Hai Zhao, Junru Zhou, Kevin Parnow, Shexia He
In this paper, we define a new cross-style semantic role label convention and propose a new cross-style joint optimization model designed around the most basic linguistic meaning of a semantic role, providing a solution to make the results of the two styles more comparable and allowing both formalisms of SRL to benefit from their natural connections in both linguistics and computation.
1 code implementation • IJCNLP 2019 • Shexia He, Zuchao Li, Hai Zhao
Recently, semantic role labeling (SRL) has earned a series of success with even higher performance improvements, which can be mainly attributed to syntactic integration and enhanced word representation.
1 code implementation • 16 Jan 2019 • Zuchao Li, Shexia He, Hai Zhao, Yiqing Zhang, Zhuosheng Zhang, Xi Zhou, Xiang Zhou
Semantic role labeling (SRL) aims to discover the predicateargument structure of a sentence.
Ranked #9 on Semantic Role Labeling on CoNLL 2005
1 code implementation • 6 Nov 2018 • Zhuosheng Zhang, Hai Zhao, Kangwei Ling, Jiangtong Li, Zuchao Li, Shexia He, Guohong Fu
Representation learning is the foundation of machine reading comprehension and inference.
1 code implementation • CONLL 2018 • Zuchao Li, Shexia He, Zhuosheng Zhang, Hai Zhao
This paper describes the system of team LeisureX in the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies.
1 code implementation • EMNLP 2018 • Zuchao Li, Shexia He, Jiaxun Cai, Zhuosheng Zhang, Hai Zhao, Gongshen Liu, Linlin Li, Luo Si
Semantic role labeling (SRL) aims to recognize the predicate-argument structure of a sentence.
no code implementations • 8 Sep 2018 • Zhuosheng Zhang, Shexia He, Zuchao Li, Hai Zhao
The goal of semantic role labeling (SRL) is to discover the predicate-argument structure of a sentence, which plays a critical role in deep processing of natural language.
1 code implementation • 11 Aug 2018 • Jiaxun Cai, Shexia He, Zuchao Li, Hai Zhao
Semantic role labeling (SRL) is to recognize the predicate-argument structure of a sentence, including subtasks of predicate disambiguation and argument labeling.
no code implementations • COLING 2018 • Jiaxun Cai, Shexia He, Zuchao Li, Hai Zhao
Semantic role labeling (SRL) is to recognize the predicate-argument structure of a sentence, including subtasks of predicate disambiguation and argument labeling.
3 code implementations • COLING 2018 • Zuchao Li, Jiaxun Cai, Shexia He, Hai Zhao
This paper presents a sequence to sequence (seq2seq) dependency parser by directly predicting the relative position of head for each given word, which therefore results in a truly end-to-end seq2seq dependency parser for the first time.
1 code implementation • ACL 2018 • Shexia He, Zuchao Li, Hai Zhao, Hongxiao Bai
Semantic role labeling (SRL) is dedicated to recognizing the predicate-argument structure of a sentence.