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 › peer-review

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

Access to Document

10.1587/transinf.E92.D.736

Fingerprint Dive into the research topics of 'Computing word semantic relatedness for question retrieval in community question answering'. Together they form a unique fingerprint.

Cite this

@article{daadc7c0aa234d8eb242496a2d3f5248,

title = "Computing word semantic relatedness for question retrieval in community question answering",

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.",

keywords = "Community question answering, Question retrieval, Word semantic relatedness",

author = "Lee, {Jung Tae} and Song, {Young In} and Rim, {Hae Chang}",

year = "2009",

doi = "10.1587/transinf.E92.D.736",

language = "English",

volume = "E92-D",

pages = "736--739",

journal = "IEICE Transactions on Information and Systems",

issn = "0916-8532",

publisher = "Maruzen Co., Ltd/Maruzen Kabushikikaisha",

number = "4",

}

TY - JOUR

T1 - Computing word semantic relatedness for question retrieval in community question answering

AU - Lee, Jung Tae

AU - Song, Young In

AU - Rim, Hae Chang

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - Community question answering

KW - Question retrieval

KW - Word semantic relatedness

UR - http://www.scopus.com/inward/record.url?scp=77950358505&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77950358505&partnerID=8YFLogxK

U2 - 10.1587/transinf.E92.D.736

DO - 10.1587/transinf.E92.D.736

M3 - Article

AN - SCOPUS:77950358505

VL - E92-D

SP - 736

EP - 739

JO - IEICE Transactions on Information and Systems

JF - IEICE Transactions on Information and Systems

SN - 0916-8532

IS - 4

ER -

Computing word semantic relatedness for question retrieval in community question answering

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this