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
fDate :
30 Oct.-1 Nov. 2005
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;
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
DOI :
10.1109/NLPKE.2005.1598741
