IEICE TRANSACTIONS on Information
Computing Word Semantic Relatedness for Question Retrieval in Community Question Answering
Summary :
Previous approaches to question retrieval in community-based 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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E92-D No.4 pp.736-739
- Publication Date
- 2009/04/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E92.D.736
- Type of Manuscript
- LETTER
- Category
- Contents Technology and Web Information Systems
Authors
Keyword
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Jung-Tae LEE, Young-In SONG, Hae-Chang RIM, "Computing Word Semantic Relatedness for Question Retrieval in Community Question Answering" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 4, pp. 736-739, April 2009, doi: 10.1587/transinf.E92.D.736.
Abstract: Previous approaches to question retrieval in community-based 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.736/_p
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@ARTICLE{e92-d_4_736,
author={Jung-Tae LEE, Young-In SONG, Hae-Chang RIM, },
journal={IEICE TRANSACTIONS on Information},
title={Computing Word Semantic Relatedness for Question Retrieval in Community Question Answering},
year={2009},
volume={E92-D},
number={4},
pages={736-739},
abstract={Previous approaches to question retrieval in community-based 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={},
doi={10.1587/transinf.E92.D.736},
ISSN={1745-1361},
month={April},}
Copy
TY - JOUR
TI - Computing Word Semantic Relatedness for Question Retrieval in Community Question Answering
T2 - IEICE TRANSACTIONS on Information
SP - 736
EP - 739
AU - Jung-Tae LEE
AU - Young-In SONG
AU - Hae-Chang RIM
PY - 2009
DO - 10.1587/transinf.E92.D.736
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2009
AB - Previous approaches to question retrieval in community-based 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.
ER -
English
