activity
20162022
most citedCombining Discrete and Neural Features for Sequence Labeling

36 citations · 154 across the 17 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

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.CL2020★ 2 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.CY2020★ 1 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.CL2020★ 15 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…

cs.CL2020

End to End Chinese Lexical Fusion Recognition with Sememe Knowledge

Yijiang Liu, Meishan Zhang, Donghong Ji

In this paper, we present Chinese lexical fusion recognition, a new task which could be regarded as one kind of coreference recognition. First, we introduce the task in detail, sho…

cs.CL2020★ 22 cited

Multi-Task Learning with Auxiliary Speaker Identification for Conversational Emotion Recognition

Jingye Li, Meishan Zhang, Donghong Ji +1

Conversational emotion recognition (CER) has attracted increasing interests in the natural language processing (NLP) community. Different from the vanilla emotion recognition, effe…