【中英雙語】45檔案專業(yè)外文文獻(xiàn)翻譯成品問答庫檔案檢索模型

1、外文標(biāo)題：Retrieval Models for Question and Answer Archives外文作者：Xiaobing Xue, Jiwoon Jeon, W. Bruce Croft文獻(xiàn)出處:英文 1589 單詞， 8698 字符，中文 2398 漢字。此文檔是外文翻譯成品，無需調(diào)整復(fù)雜的格式哦！下載之后直接可用，方便快捷！只需二十多元。Retrieval Models for Question and Answer

2、ArchivesXiaobing Xue, Jiwoon Jeon, W. Bruce CroftABSTRACTRetrieval in a question and answer archive involves finding good answers for a user’s question. In contrast to typical document retrieval, a retrieval model for th

3、is task can exploit question similarity as well as ranking the associated answers. In this paper, we propose a retrieval model that combines a translation-based language model for the question part with a query likeliho

4、od 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 translation based l

5、anguage 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.K

6、eywordsQuestion and Answer Retrieval, Translation Model, Language Model, Information RetrievalINTRODUCTION Large scale question and answer (Q&A) archives have become an important information resource on the Web. The

7、se include the FAQ archives constructed by companies for their products and the archives generated from Web services such as Yahoo Answers! and Live QnA, where people answer questions posed by other people. The retriev

8、al 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

9、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 ther

10、efore increase the efficiency of finding the required answers. Q&A retrieval can also be considered as an alternative solution to the general Question Answering (QA) problem. Since the answers for each question in t

11、he Q&A archive are generated by humans, the difficult QA task of extracting a correct answer with the question parts, the answer parts, and the question- answer pairs, respectively. CONCLUSION AND FUTURE WORKQ&A

12、 retrieval has become an important issue due to the popularity of Q&A archives on the web. In this paper, we propose a novel translation-based language model to solve this problem. Our approach combines the translat

13、ion-based language model estimated using the question part and the query likelihood language model estimated using the answer part. A new technique was described for using different con- figurations of question-answer pa

14、irs to improve the quality of the translation probability estimates. The retrieval experiments demonstrated the effectiveness of both the retrieval model and the estimation technique.Our experiments were conducted on on

15、e type of Q&A archive, which was collected from a web service where people answer questions posed by other people. Further work will focus on testing the effect of the proposed retrieval model on FAQ archives. We al

16、so plan to work on data from Yahoo! Answers, which is potentially a much larger collection than Wondir. The new experiments will use questions derived from this data. Other techniques for combining the models estimated f

17、rom the question and answer parts will be investigated. In addition, phrase-based machine translation models have shown superior performance compared to word-based translation models in translation applications. We plan

18、 to study the effectiveness of these models in the Q&A setting.REFERENCES[1] A. Berger, R. Caruana, D. Cohn, D. Freitag, and V. Mittal. Briding the lexical chasm: statistical approaches to answer-finding. In Proceed

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