Computing word semantic relatedness for question retrieval in community question answering

Jung Tae Lee; Young In Song; Hae Chang Rim

doi:10.1587/transinf.E92.D.736

Computing word semantic relatedness for question retrieval in community question answering

Jung Tae Lee, Young In Song, Hae Chang Rim

Honorary professors

Research output: Contribution to journal › Article

Abstract

Previous approaches to question retrieval in communitybased question answering rely on statistical translation techniques to match users' questions (queries) against collections of previously asked questions. This paper presents a simple but effective method for computing word relatedness to improve question retrieval based on word co-occurrence information directly extracted from question and answer archives. Experimental results show that the proposed approach significantly outperforms translation-based approaches.

Original language	English
Pages (from-to)	736-739
Number of pages	4
Journal	IEICE Transactions on Information and Systems
Volume	E92-D
Issue number	4
DOIs	https://doi.org/10.1587/transinf.E92.D.736
Publication status	Published - 2009

Keywords

Community question answering
Question retrieval
Word semantic relatedness

ASJC Scopus subject areas

Software
Hardware and Architecture
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering
Artificial Intelligence

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