高俊伟,孔 芳,朱巧明,李培峰. 语料对中文名词短语指代消解影响研究[J]. 中文信息学报, 2013, 27(3): 61-69.
GAO Junwei, KONG Fang, ZHU Qiaoming, LI Peifeng. Research on the Corpus Effect to the Chinese Noun Phrase Anaphora Resolution. , 2013, 27(3): 61-69.
语料对中文名词短语指代消解影响研究
高俊伟,孔 芳,朱巧明,李培峰
苏州大学 计算机科学与技术学院, 江苏省计算机信息处理技术重点实验室,江苏 苏州 215006
Research on the Corpus Effect to the Chinese Noun Phrase Anaphora Resolution
GAO Junwei, KONG Fang, ZHU Qiaoming, LI Peifeng
School of Computer Science & Technology, Soochow University, Key Lab of Computer Information Processing Technology of Jiangsu Province, Suzhou, Jiangsu 215006,China
Abstract：Coreference is a common phenomenon in natural language, with a great effect in making the natural language clear and explicit illusions. Coreference resolution is the process to detect these phenomena by the computer. A great deal of research has been conducted on this task in English with substantial achievements in recent years. However, much less work has been done in this area in Chinese. One problem is the lack of public Chinese corpus for this research in except for ACE2005, OntoNotes and so on. To discuss the effect of the corpus to the Chinese Noun Phrase Anaphora Resolution, we present a Chinese noun phrase coreference resolution system that based on supervised learning approach and another system that based on unsupervised clustering approach. We discussed the effect of the corpus to the Chinese noun phrase coreference resolution based on the two platforms from the quantity and the quality of the corpus. Key wordscoreference resolution; noun phrase; unsupervised; clustering; corpus
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2013, Vol. 27 
