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초록
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.
키워드
question retrieval; community question answering; word semantic relatedness
- 제목
- Computing Word Semantic Relatedness for Question Retrieval in Community Question Answering
- 저자
- Lee, Jung-Tae; Song, Young-In; Rim, Hae-Chang
- 발행일
- 2009-04
- 유형
- Article
- 권
- E92D
- 호
- 4
- 페이지
- 736 ~ 739