Applying Completely-Arbitrary Passage for Pseudo-Relevance Feedback in Language Modeling Approach
Different from the traditional document-level feedback,passage-levelfeedback restricts the context of selecting relevant terms to a passage in a document,rather than to the entire document.It can thus avoid the selection of nonrelevant terms from non-relevant parts in a document.The most recent work of passage-level feedback has been investigated from the viewpoint of the fixedwindow type of passage.However,the fixed-window type of passage has limitation in optimizing the passage-level feedback,since it includes a queryindependent portion.To minimize the query-independence of the passage,this paper proposes a new type of passage,called completely-arbitrary passage.Based on this,we devise a novel two-stage passage feedback-which consists of passage-retrieval and passage-extension as sub-steps,unlike previous singlestage passage feedback relying only on passage retrieval.Experimental results show that the proposed two-stage passage-level feedback much significantly improves the document-level feedback than the single-stage passage feedback that uses the fixed-window type of passage.
pseudo-relevance feedback passage-level feedback completely-arbitrary passage language modeling approach
Seung-Hoon Na In-Su Kang Ye-Ha Lee Jong-Hyeok Lee
Pohang University of Science and Technology (POSTECH),AITrc.Republic of Korea Korea Institute of Science and Technology Information (KISTI),Republic of Korea
国际会议
4th Asia Information Retrieval Symposium(AIRS 2008)(第四届亚洲信息检索研讨会)
哈尔滨
英文
626-631
2008-01-16（万方平台首次上网日期，不代表论文的发表时间）