DocumentCode :
2792294
Title :
Research on passage retrieval using domain knowledge in Chinese question answering system
Author :
Han, Lu ; Yu, Zheng-tao ; Qiu, Yan-xia ; Meng, Xiang-yan ; Guo, Jian-yi ; Si, Sheng-tao
Author_Institution :
Sch. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming
Volume :
5
fYear :
2008
fDate :
12-15 July 2008
Firstpage :
2603
Lastpage :
2606
Abstract :
In order to improve the accuracy of passage retrieval in restrict domain question answering system, The paper proposes a retrieval method using domain knowledge in Chinese question answering system. This method extracts question keywords by analyzing syntactic structure, expands synonymous keywords with the help of ldquoHowNetrdquo and ldquoField HowNetrdquo to do question query, and then extracts text with improved NUTCH retrieval system, finally improves the retrieval method MuliTex according to domain knowledge, arranges the order and calculates weight of paragraphs. On this base, the method extracts related paragraphs as answers, and then has carried on the question and answer experimental verification in the traveling domain. The result shows this method has a good effect. The value of retrieval MRR is up to 0.45.
Keywords :
information retrieval; information retrieval systems; natural language processing; Chinese question answering system; Field HowNet; HowNet; MuliTex retrieval method; NUTCH retrieval system; domain knowledge; passage retrieval; question keywords extraction; Automation; Cybernetics; Frequency; Information processing; Information retrieval; Knowledge engineering; Machine learning; Paper technology; Terminology; Vocabulary; Domain knowledge; Passage retrieval; Question answering system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
Type :
conf
DOI :
10.1109/ICMLC.2008.4620847
Filename :
4620847
Link To Document :
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