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

被引:2
作者
Han, Lu [1 ]
Yu, Zheng-Tao [1 ]
Qiu, Yan-Xia [1 ]
Meng, Xiang-Yan [1 ]
Guo, Jian-Yi [1 ]
Si, Sheng-Tao [1 ]
机构
[1] Kunming Univ Sci & Technol, Sch Informat Engn & Automat, Kunming 650051, Peoples R China
来源
PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2008年
关键词
question answering system; passage retrieval; domain knowledge;
D O I
10.1109/ICMLC.2008.4620847
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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 "HowNet" and "Field HowNet" 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. I-lie result shows this method has a good effect. The value of retrieval MRR is tip to 0.45.
引用
收藏
页码:2603 / 2606
页数:4
相关论文
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