By Topic

Research on passage retrieval using domain knowledge in Chinese question answering system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Lu Han ; Sch. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming ; Zheng-tao Yu ; Yan-Xia Qiu ; Xiang-Yan Meng
more authors

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.

Published in:

Machine Learning and Cybernetics, 2008 International Conference on  (Volume:5 )

Date of Conference:

12-15 July 2008