DocumentCode
3317298
Title
Parsing model for answer extraction in Chinese question answering system
Author
Yuan, Caixia ; Wang, Cong
Author_Institution
Sch. of Inf. Eng., Beijing Univ. of Posts & Telecommun., China
fYear
2005
fDate
30 Oct.-1 Nov. 2005
Firstpage
238
Lastpage
243
Abstract
This paper presents a novel approach to answer extraction in Chinese question answering (QA) system. An extended lexicalized context-free grammar parser is used for question and answer understanding, the exact answer is extracted with the clue of named entity (NE) and question classification (QC). It shows that the-performance of QA will be greatly improved with more comprehensive language understanding technologies.
Keywords
classification; context-free grammars; information retrieval systems; natural languages; Chinese question answering system; answer extraction; language understanding technology; lexicalized context-free grammar parser; named entity clue; parsing model; question classification; Data mining; Earth; Extraterrestrial measurements; Information filtering; Information retrieval; Mars; Natural languages; Performance evaluation; Tagging; Telephony;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Language Processing and Knowledge Engineering, 2005. IEEE NLP-KE '05. Proceedings of 2005 IEEE International Conference on
Print_ISBN
0-7803-9361-9
Type
conf
DOI
10.1109/NLPKE.2005.1598741
Filename
1598741
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