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
커뮤니티 기반 질문 답변에서 질문 검색에 대한 이전 접근 방식은 이전에 질문한 질문 모음과 사용자의 질문(쿼리)을 일치시키는 통계적 번역 기술에 의존했습니다. 본 논문에서는 질문 및 답변 아카이브에서 직접 추출한 단어 동시 발생 정보를 기반으로 질문 검색을 향상시키기 위해 단어 관련성을 계산하는 간단하면서도 효과적인 방법을 제시합니다. 실험 결과는 제안된 접근 방식이 번역 기반 접근 방식보다 훨씬 뛰어난 성능을 보인다는 것을 보여줍니다.
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부
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
부
@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},}
부
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 -