Question matching based on Fuzzy set

Author

Gu, Tianjiao ; Ren, Fuji

Author_Institution

Fac. of Eng., Univ. of Tokushima, Tokushima

fYear

2008

fDate

19-22 Oct. 2008

Firstpage

1

Lastpage

6

Abstract

Sentence similarity computing plays an important role in the question answering (QA) system. Because there are many question expressions for one meaning, we present a new approach to match question based on fuzzy set. In this paper, we establish a library of standard questions. Each standard question is relative with a series of Keywords. The main focus of this paper lies with matching of standard questions and questions asked by users. An experimental system based on the proposed method has been built, and the results of our experiments shows the proposed method is effective for question matching.

Keywords

fuzzy set theory; information retrieval; natural language processing; pattern matching; fuzzy set; question answering system; question matching; sentence similarity computing; Algorithm design and analysis; Fuzzy sets; Fuzzy systems; Libraries; Measurement standards; Natural language processing; Natural languages; Search engines; Telecommunication computing; Telecommunication standards; Question Answering system; question matching; sentence similarity;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Language Processing and Knowledge Engineering, 2008. NLP-KE '08. International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-4515-8

Electronic_ISBN

978-1-4244-2780-2

Type

conf

DOI

10.1109/NLPKE.2008.4906799

Filename

4906799