DocumentCode
3300491
Title
Exploiting salient word dependency for Chinese NP identification: A study on classifier noun phrase
Author
Wang, Meng ; Yu, Shiwen ; Duan, Huiming
Author_Institution
Inst. of Comput., Linguistics Peking Univ., Beijing
fYear
2008
fDate
19-22 Oct. 2008
Firstpage
1
Lastpage
7
Abstract
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.
Keywords
natural language processing; Chinese NP identification; base noun phrase; classifier noun phrase; classifier-noun collocation; maximal-length noun phrase; natural language processing; salient word dependency; Books; Computational linguistics; Dictionaries; Entropy; Hidden Markov models; Horses; Labeling; Natural languages; Q measurement; Statistical analysis; NP identification; classifier noun phrase; classifier-noun collocation;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Language Processing and Knowledge Engineering, 2008. NLP-KE '08. International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-4515-8
Electronic_ISBN
978-1-4244-2780-2
Type
conf
DOI
10.1109/NLPKE.2008.4906763
Filename
4906763
Link To Document