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A context approach to measuring similarity between questions in the community-based QA services

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

There is an increasing number of community-based question and answer (cQA) service on the Web. Many tasks in cQA services involve in determining similarity between questions. However, finding similar questions is not trivial. In this paper we propose a new method based on a query expansion technique to tackle the similar question matching problem. We employ the information provided by the corresponding answer and question & answer pairs from cQA services to determine the similarity between questions. We empirically show that with this method it is possible to find semantically similar questions even though they may not share any actual terms in common.

Original languageEnglish
Title of host publicationProceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010
Pages2408-2411
Number of pages4
DOIs
StatePublished - 2010
Event2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010 - Yantai, Shandong, China
Duration: 10 Aug 201012 Aug 2010

Publication series

NameProceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010
Volume5

Conference

Conference2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010
Country/TerritoryChina
CityYantai, Shandong
Period10/08/1012/08/10

Keywords

  • Query expansion
  • Question similarity
  • Semantic context

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