Passage Retrieval Based On Language Models

Passage Retrieval Based On Language Models (2002)

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by Xiaoyong Liu , W. Bruce Croft

Venue:	In Proceedings of the eleventh international conference on Information and knowledge management
Citations:	38 - 3 self

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Datum	Value	Source
TITLE	Passage Retrieval Based On Language Models	user correction - Legacy Corrections
AUTHOR NAME	Xiaoyong Liu	user correction - Legacy Corrections
AUTHOR AFFIL	; Center for Intelligent Information Retrieval; Department of Computer Science; University of Massachusetts, Amherst; Categories and Subject Descriptors; and Retrieval – Retrieval models.	user correction - Legacy Corrections
AUTHOR ADDR	; MA 01003	user correction - Legacy Corrections
AUTHOR NAME	W. Bruce Croft	user correction - Legacy Corrections
ABSTRACT	Previous research has shown that passage-level evidence can bring added benefits to document retrieval when documents are long or span different subject areas. Recent developments in language modeling approach to IR provided a new effective alternative to traditional retrieval models. These two streams of research motivate us to examine the use of passages in a language model framework. This paper reports on experiments using passages in a simple language model and a relevance model, and compares the results with document-based retrieval. Results from the INQUERY search engine, which is not based on a language modeling approach, are also given for comparison. Test data include two heterogeneous and one homogeneous document collections. Our experiments show that passage retrieval is feasible in the language modeling context, and more importantly, it can provide more reliable performance than retrieval based on full documents.	user correction - Legacy Corrections
YEAR	2002	INFERENCE
VENUE	In Proceedings of the eleventh international conference on Information and knowledge management	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	375--382	INFERENCE
CITATIONS	22 found	ParsCit 1.0