Research on Chinese negation and speculation： corpus annotation and identification

作     者：Bowei ZOU Guodong ZHOU Qiaoming ZHU 

作者机构：School of Computer Science and Technology Soochow University Suzhou 215006 China 

出 版 物：《Frontiers of Computer Science》 (中国计算机科学前沿（英文版）)

年 卷 期：2016年第10卷第6期

页      面：1039-1051页

核心收录：

学科分类：081203[工学-计算机应用技术] 08[工学] 082303[工学-交通运输规划与管理] 0835[工学-软件工程] 082302[工学-交通信息工程及控制] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0823[工学-交通运输工程] 

基　　金：This research was supported by the National Natural Science Foundation of China (Grant Nos. 61373097  61272259 and 61272260). Special thanks to Zhancheng Chen  Zhong Qian  and the anonymous reviewers for insightful comments and suggestions 

主　　题：negation speculation cue detection scope resolution Chinese corpus 

摘      要：Identifying negative or speculative narrative frag- ments from facts is crucial for deep understanding on natu- ral language processing （NLP）. In this paper, we firstly con- struct 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.