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http://dx.doi.org/10.3745/KIPSTB.2003.10B.1.057

Passage Retrieval based on Tracing Topic Continuity and Transition by Using Field-Associated Term  

Lee, Sang-Kon (전주대학교 정보기술컴퓨터공학부)
Abstract
We propose a technique to extract a relevant passage from text collection based on field-associated terms since they tries to concentrate relevant text to users query. Documents are supposed to be managed as a whole without any segmentation into small pieces, but the method presented is independent upon any text-embedded auxiliary information, and is based on topic continuity and transition. For users needs-relative sentences or passages, we present a passage retrieval techniques by using occurrence frequency of a field-associated term to delimit text, that is likely to be relevant to a particular topic, considering continuity and transition within topic flowing in text. We evaluate 50 Japanese documents and verify the usefulness with 82% for average precision and 63% for recall.
Keywords
Field-Associated Term; Passage Retrieval;
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