Vechtomova, O.; Karamuftuoglu, M.: Elicitation and use of relevance feedback information (2006)
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- Abstract
- The paper presents two approaches to interactively refining user search formulations and their evaluation in the new High Accuracy Retrieval from Documents (HARD) track of TREC-12. The first method consists of asking the user to select a number of sentences that represent documents. The second method consists of showing to the user a list of noun phrases extracted from the initial document set. Both methods then expand the query based on the user feedback. The TREC results show that one of the methods is an effective means of interactive query expansion and yields significant performance improvements. The paper presents a comparison of the methods and detailed analysis of the evaluation results.
- Source
- Information processing and management. 42(2006) no.1, S.191-206
- Type
- a
Vechtomova, O.; Karamuftuoglu, M.: Lexical cohesion and term proximity in document ranking (2008)
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- Abstract
- We demonstrate effective new methods of document ranking based on lexical cohesive relationships between query terms. The proposed methods rely solely on the lexical relationships between original query terms, and do not involve query expansion or relevance feedback. Two types of lexical cohesive relationship information between query terms are used in document ranking: short-distance collocation relationship between query terms, and long-distance relationship, determined by the collocation of query terms with other words. The methods are evaluated on TREC corpora, and show improvements over baseline systems.
- Source
- Information processing and management. 44(2008) no.4, S.1485-1502
- Type
- a
