The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Pendekatan sebelumnya untuk mendapatkan semula soalan dalam menjawab soalan berasaskan komuniti bergantung pada teknik terjemahan statistik untuk memadankan soalan (pertanyaan) pengguna dengan koleksi soalan yang ditanya sebelum ini. Kertas kerja ini membentangkan kaedah yang mudah tetapi berkesan untuk mengira perkaitan perkataan untuk menambah baik pencarian semula soalan berdasarkan maklumat kejadian bersama perkataan yang diekstrak terus daripada arkib soalan dan jawapan. Keputusan eksperimen menunjukkan bahawa pendekatan yang dicadangkan dengan ketara mengatasi pendekatan berasaskan terjemahan.
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Salinan
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
Salinan
@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},}
Salinan
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 -