Exploiting Salient Word Dependency for Chinese NP Identification:A Study on Classifier Noun Phrase

摘要：

NP identification is a challenging subtask of NLP. The reported literatures mainly focus on Base Noun Phrase and Maximal-length Noun Phrase, and deal with them as a sequence labeling problem. In this paper, unlike existing perspective, we concentrate on a special subcategory of Chinese NP, Classifier Noun Phrase (CNP), and present a new approach which uses salient word dependency, such as classifier-noun collocation, for CNP identification. The experiment result is encouraging. Our study shows that salient relations between words should be fully utilized in NP identification as well as other NLP applications.

关键词： NP identification classifier noun phrase classifier-noun collocation

作者: Meng Wang Shiwen Yu Huiming Duan

作者单位: Institute of Computational Linguistics Peking University Beijing,China

会议类型: 国际会议

会议名称: The 2008 IEEE International Conference on Natural Language Processing and Knowledge Engineering(IEEE NLP-KE 2008)(2008IEEE自然语言处理与知识工程国际会议)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-19（万方平台首次上网日期，不代表论文的发表时间）