Algorithm Research & Explore
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2035-2039

Question pattern extraction based on sentence2vec and semi-supervised algorithm for Chinese Q&A

Zhang Jinren
Zhang Yun
Wang Yu
School of Computer Science, Nanjing University of Posts & Telecommunications, Nanjing 210003, China

Abstract

Relation extraction is an important task in information extraction. While dealing with the question-answer pairs, in addition to the relations among the entities in the texts, the question pattern as the relation connected questions and the answers also needs to be extracted. The combination of the supervised labeling algorithm(conditional random field) and the semi-supervised algorithm based on a feature template(Bootstrapping) has a good performance when extracting relationships between entities. However, the method to find the template in the traditional semi-supervised algorithm is hard to move to the extraction of the question pattern. Therefore, this paper proposed model based on the combination of sentence2vec technology and semi-supervised algorithm, which introduced the sentence vector to calculate the text similarity and selected the sentence template. It used random sampling validation to verify the final result. The experimental results show that the method has higher precision and recall values than the traditional semi-supervised algorithm.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0020
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 7
Section: Algorithm Research & Explore
Pages: 2035-2039
Serial Number: 1001-3695(2019)07-027-2035-05

Publish History

[2019-07-05] Printed Article

Cite This Article

张金壬, 章韵, 王宇. 基于sentence2vec与半监督算法的中文问答提问模式抽取 [J]. 计算机应用研究, 2019, 36 (7): 2035-2039. (Zhang Jinren, Zhang Yun, Wang Yu. Question pattern extraction based on sentence2vec and semi-supervised algorithm for Chinese Q&A [J]. Application Research of Computers, 2019, 36 (7): 2035-2039. )

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  • Application Research of Computers Monthly Journal
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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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