Query expansion with terms selected using lexical cohesion analysis of documents
dc.citation.epage | 865 | en_US |
dc.citation.issueNumber | 4 | en_US |
dc.citation.spage | 849 | en_US |
dc.citation.volumeNumber | 43 | en_US |
dc.contributor.author | Vechtomova, O. | en_US |
dc.contributor.author | Karamuftuoglu, M. | en_US |
dc.date.accessioned | 2016-02-08T10:13:49Z | |
dc.date.available | 2016-02-08T10:13:49Z | |
dc.date.issued | 2007-07 | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.description.abstract | We present new methods of query expansion using terms that form lexical cohesive links between the contexts of distinct query terms in documents (i.e., words surrounding the query terms in text). The link-forming terms (link-terms) and short snippets of text surrounding them are evaluated in both interactive and automatic query expansion (QE). We explore the effectiveness of snippets in providing context in interactive query expansion, compare query expansion from snippets vs. whole documents, and query expansion following snippet selection vs. full document relevance judgements. The evaluation, conducted on the HARD track data of TREC 2005, suggests that there are considerable advantages in using link-terms and their surrounding short text snippets in QE compared to terms selected from full-texts of documents. © 2006 Elsevier Ltd. All rights reserved. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T10:13:49Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2007 | en |
dc.identifier.doi | 10.1016/j.ipm.2006.09.004 | en_US |
dc.identifier.issn | 0306-4573 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/23429 | en_US |
dc.language.iso | English | en_US |
dc.publisher | Elsevier Ltd | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1016/j.ipm.2006.09.004 | en_US |
dc.source.title | Information Processing and Management | en_US |
dc.subject | Interactive information retrieval | en_US |
dc.subject | Lexical cohesion | en_US |
dc.subject | Query expansion | en_US |
dc.subject | Relevance feedback | en_US |
dc.subject | Data reduction | en_US |
dc.subject | Feedback | en_US |
dc.subject | Interactive computer systems | en_US |
dc.subject | Query languages | en_US |
dc.subject | Text processing | en_US |
dc.subject | Word processing | en_US |
dc.title | Query expansion with terms selected using lexical cohesion analysis of documents | en_US |
dc.type | Article | en_US |
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