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 :
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