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Algorithm Research & Explore
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1769-1773

Construction of question retrieval model in community question answering system based on HNC sentence-category

Wang Yu
Wang Fang
School of Economics & Management, Dalian University of Technology, Dalian Liaoning 116024, China

Abstract

Community question answering system causes trouble for users to retrieve information due to useless information. Most of the previous question retrieval models focus on the word level. In order to solve the above problems, this paper proposed a question retrieval model at the sentence level. Based on the sentence-category of HNC theory, the new model calcula-ted similarities between questions from the pragmatic, grammatical and semantic levels of the sentence. The model used the question classification algorithm to determine the categories of query question and candidate question, and thus obtained pragmatic similarity between questions. It used the sentence expression structure and the sentence semantic block to calculate grammatical and semantic similarities. Experiments on real data sets show that the new model based on HNC sentence-category improves the accuracy of question retrieval results.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.11.0871
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 6
Section: Algorithm Research & Explore
Pages: 1769-1773
Serial Number: 1001-3695(2020)06-033-1769-05

Publish History

[2020-06-05] Printed Article

Cite This Article

王宇, 王芳. 基于HNC句类的社区问答系统问句检索模型构建 [J]. 计算机应用研究, 2020, 37 (6): 1769-1773. (Wang Yu, Wang Fang. Construction of question retrieval model in community question answering system based on HNC sentence-category [J]. Application Research of Computers, 2020, 37 (6): 1769-1773. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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