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