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Toward Automatic Answers in User-Interactive Question Answering Systems

Toward Automatic Answers in User-Interactive Question Answering Systems

Tianyong Hao, Feifei Xu, Jingsheng Lei, Liu Wenyin, Qing Li
Copyright: © 2013 |Pages: 14
ISBN13: 9781466626515|ISBN10: 1466626518|EISBN13: 9781466626829
DOI: 10.4018/978-1-4666-2651-5.ch007
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MLA

Hao, Tianyong, et al. "Toward Automatic Answers in User-Interactive Question Answering Systems." Advances in Abstract Intelligence and Soft Computing, edited by Yingxu Wang, IGI Global, 2013, pp. 88-101. https://doi.org/10.4018/978-1-4666-2651-5.ch007

APA

Hao, T., Xu, F., Lei, J., Wenyin, L., & Li, Q. (2013). Toward Automatic Answers in User-Interactive Question Answering Systems. In Y. Wang (Ed.), Advances in Abstract Intelligence and Soft Computing (pp. 88-101). IGI Global. https://doi.org/10.4018/978-1-4666-2651-5.ch007

Chicago

Hao, Tianyong, et al. "Toward Automatic Answers in User-Interactive Question Answering Systems." In Advances in Abstract Intelligence and Soft Computing, edited by Yingxu Wang, 88-101. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2651-5.ch007

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Abstract

A strategy of automatic answer retrieval for repeated or similar questions in user-interactive systems by employing semantic question patterns is proposed in this paper. The used semantic question pattern is a generalized representation of a group of questions with both similar structure and relevant semantics. Specifically, it consists of semantic annotations (or constraints) for the variable components in the pattern and hence enhances the semantic representation and greatly reduces the ambiguity of a question instance when asked by a user using such pattern. The proposed method consists of four major steps: structure processing, similar pattern matching and filtering, automatic pattern generation, question similarity evaluation and answer retrieval. Preliminary experiments in a real question answering system show a precision of more than 90% of the method.

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