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


The KIPS Transactions:PartB , Vol. 10, No. 1, pp. 57-66, Feb. 2003
10.3745/KIPSTB.2003.10.1.57,   PDF Download:

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.


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Cite this article
[IEEE Style]
S. K. Lee, "Passage Retrieval based on Tracing Topic Continuity and Transition by Using Field-Associated Term," The KIPS Transactions:PartB , vol. 10, no. 1, pp. 57-66, 2003. DOI: 10.3745/KIPSTB.2003.10.1.57.

[ACM Style]
Sang Kun Lee. 2003. Passage Retrieval based on Tracing Topic Continuity and Transition by Using Field-Associated Term. The KIPS Transactions:PartB , 10, 1, (2003), 57-66. DOI: 10.3745/KIPSTB.2003.10.1.57.