Computing Word Semantic Relatedness for Question Retrieval in Community Question Answering
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概要
- 論文の詳細を見る
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.
- （社）電子情報通信学会の論文
- 2009-04-01
著者
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Rim Hae-chang
Dept. Of Computer Science And Engineering Korea University
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Rim Hae-chang
Dept. Of Computer And Radio Communications Engineering Korea University
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LEE Jung-Tae
Dept. of Computer and Radio Communications Engineering, Korea University
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SONG Young-In
Dept. of Computer Science and Engineering, Korea University
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Song Young-in
Dept. Of Computer And Radio Communications Engineering Korea Univ.
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Lee Jung-tae
Dept. Of Computer And Radio Communications Engineering Korea University
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Song Young-in
Dept. Of Computer Science And Engineering Korea University
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