activity
20172021
most citedCombining Discrete and Neural Features for Sequence Labeling

36 citations · 113 across the 12 of their papers we have counts for

collaborators

13 papers

cs.CL20214 cited

End-to-end Semantic Role Labeling with Neural Transition-based Model

Hao Fei, Meishan Zhang, Bobo Li +1

End-to-end semantic role labeling (SRL) has been received increasing interest. It performs the two subtasks of SRL: predicate identification and argument role labeling, jointly. Re…

cs.CL2020

Cross-lingual Semantic Role Labeling with Model Transfer

Hao Fei, Meishan Zhang, Fei Li +1

Prior studies show that cross-lingual semantic role labeling (SRL) can be achieved by model transfer under the help of universal features. In this paper, we fill the gap of cross-l…

cs.CL20202 cited

A Survey of Syntactic-Semantic Parsing Based on Constituent and Dependency Structures

Meishan Zhang

Syntactic and semantic parsing has been investigated for decades, which is one primary topic in the natural language processing community. This article aims for a brief survey on t…

cs.CY20201 cited

APPCorp: A Corpus for Android Privacy Policy Document Structure Analysis

Shuang Liu, Renjie Guo, Baiyang Zhao +2

With the increasing popularity of mobile devices and the wide adoption of mobile Apps, an increasing concern of privacy issues is raised. Privacy policy is identified as a proper m…

cs.CL2020

DRTS Parsing with Structure-Aware Encoding and Decoding

Qiankun Fu, Yue Zhang, Jiangming Liu +1

Discourse representation tree structure (DRTS) parsing is a novel semantic parsing task which has been concerned most recently. State-of-the-art performance can be achieved by a ne…

cs.CL202015 cited

Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus

Hao Fei, Meishan Zhang, Donghong Ji

Many efforts of research are devoted to semantic role labeling (SRL) which is crucial for natural language understanding. Supervised approaches have achieved impressing performance…