1、外文标题： Retrieval Models for Question and Answer Archives 外文作者： Xiaobing Xue, Jiwoon Jeon, W. Bruce Croft 文献出处 : 英文 1589 单词， 8698 字符，中文 2398 汉字。 此文档是外文翻译成品，无需调整复杂的格式哦！下载之后直接可用，方便快捷！只需二十多元。 Retrieval Models for Question and Answer Archives Xiaobing Xue, Jiwoon Jeon, W. Bruce Croft ABS
2、TRACT Retrieval in a question and answer archive involves finding good answers for a users question. In contrast to typical document retrieval, a retrieval model for this task can exploit question similarity as well as ranking the associated answers. In this paper, we propose a retrieval model that
3、combines a translation-based language model for the question part with a query likelihood approach for the answer part. The proposed model incorporates word-to-word translation probabilities learned through exploiting different sources of information. Experiments show that the proposed transla tion
4、based language model for the question part outperforms baseline methods significantly. By combining with the query likelihood language model for the answer part, substantial additional effectiveness improvements are obtained. Keywords Question and Answer Retrieval, Translation Model, Language Model,
5、 Information Retrieval INTRODUCTION Large scale question and answer (Q&A) archives have become an important information resource on the Web. These include the FAQ archives constructed by companies for their products and the archives generated from Web services such as Yahoo Answers! and Live QnA
6、, where people answer questions posed by other people. The retrieval task in a Q&A archive is to find relevant question-answer pairs for new questions posed by the user 6. Q&A retrieval has several advantages over Web search. First, the user can use natural language instead of only keywords as a query, and thus can potentially express his/her information need more clearly. Second, the system returns several possible answers directly instead of a long list of ranked documents, and can therefore increase the effi
