计算机工程2012，Vol.38Issue(17)：189-191,3.DOI:10.3969/j.issn.1000-3428.2012.17.052
无监督中文名词短语指代消解研究
Research of Unsupervised Chinese Noun Phrase Coreference Resolution
摘要
Abstract
The lack of public corpus is a big problem in the research of Chinese NLP. To eliminate the effect that lack of corpus to Chinese NLP, this paper presents a Chinese noun phrase coreference resolution system based on an unsupervised clustering approach and gives the details of the platform. The method adoptes three tools to evaluate the performance of the platform, in the case of auto, the average of F-measures achieves 59.43%. Experimental results show that the platform achieves good performance.关键词
无监督/名词短语/指代消解/聚类/自然语言/语料Key words
unsupervised/ noun phrase/ coreference resolution/ clustering/ natural language/ corpus分类
信息技术与安全科学引用本文复制引用
高俊伟,孔芳,朱巧明,李培峰,华秀丽..无监督中文名词短语指代消解研究[J].计算机工程,2012,38(17):189-191,3.基金项目
国家自然科学基金资助项目(90920004,60970056,61070123,61003153) （90920004,60970056,61070123,61003153）
江苏省高校自然科学重大基础研究基金资助项目(08KJA520002) （08KJA520002）
