A Summary Based Language Retrieval Method

摘要：

The performance of language retrieval method is largely determined by the accuracy of document language model. Motivated by the hypothesis that query-biased summary presents the information that is most relevant to a query, we propose a summary-biased approach to study the use of internal structures for the estimationod document language model. This method can be viewed as a two-stage language model, in the first stage, the document language model is smoothed by the query-biased summary, and in the second stage, the smoothed document language model is further smoothed by the collection language model. Moreover, our method can be used in feedback technique to estimate an improved query model

关键词： language model information retrteval summary

作者: Peng Jiang Kaifan Ji Feng Wang Weijiang Li

作者单位: Yunnan Computer Technology Application Key Lab Kunming University of Science and Technology Kunming, China, 650051

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 211-214

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）