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Frontiers of Computer Science

ISSN 2095-2228

ISSN 2095-2236(Online)

CN 10-1014/TP

Postal Subscription Code 80-970

2018 Impact Factor: 1.129

Front. Comput. Sci.    2016, Vol. 10 Issue (6) : 1039-1051    https://doi.org/10.1007/s11704-015-5101-2
RESEARCH ARTICLE
Research on Chinese negation and speculation: corpus annotation and identification
Bowei ZOU,Guodong ZHOU,Qiaoming ZHU()
School of Computer Science and Technology, Soochow University, Suzhou 215006, China
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Abstract

Identifying negative or speculative narrative fragments from facts is crucial for deep understanding on natural language processing (NLP). In this paper, we firstly construct a Chinese corpus which consists of three sub-corpora from different resources. We also present a general framework for Chinese negation and speculation identification. In our method, first, we propose a feature-based sequence labeling model to detect the negative or speculative cues. In addition, a cross-lingual cue expansion strategy is proposed to increase the coverage in cue detection. On this basis, this paper presents a new syntactic structure-based framework to identify the linguistic scope of a negative or speculative cue, instead of the traditional chunking-based framework. Experimental results justify the usefulness of our Chinese corpus and the appropriateness of our syntactic structure-based framework which has showed significant improvement over the state-of-the-art on Chinese negation and speculation identification.

Keywords negation      speculation      cue detection      scope resolution      Chinese corpus     
Corresponding Author(s): Qiaoming ZHU   
Just Accepted Date: 10 October 2015   Online First Date: 11 May 2016    Issue Date: 11 October 2016
 Cite this article:   
Bowei ZOU,Guodong ZHOU,Qiaoming ZHU. Research on Chinese negation and speculation: corpus annotation and identification[J]. Front. Comput. Sci., 2016, 10(6): 1039-1051.
 URL:  
https://academic.hep.com.cn/fcs/EN/10.1007/s11704-015-5101-2
https://academic.hep.com.cn/fcs/EN/Y2016/V10/I6/1039
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[1]  Supplementary Material Download
[1] Lydia LAZIB, Bing QIN, Yanyan ZHAO, Weinan ZHANG, Ting LIU. A syntactic path-based hybrid neural network for negation scope detection[J]. Front. Comput. Sci., 2020, 14(1): 84-94.
[2] Wenbing JIN, Feng SHI, Qiugui SONG, Yang ZHANG. A novel architecture for ahead branch prediction[J]. Front Comput Sci, 2013, 7(6): 914-923.
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