Word sense disambiguation to improve precision for ambiguous queries

Abstract: Success in Information Retrieval (IR) depends on many variables. Several interdisciplinary approaches try to improve the quality of the results obtained by an IR system. In this paper we propose a new way of using word sense disambiguation (WSD) in IR. The method we develop is based on Naïve Bayes classification and can be used both as a filtering and as a re-ranking technique. We show on the TREC ad-hoc collection that WSD is useful in the case of queries which are difficult due to sense ambiguity. Our interest regards improving the precision after 5, 10 and 30 retrieved documents (P@5, P@10, P@30), respectively, for such lowest precision queries.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Word sense disambiguation to improve precision for ambiguous queries ; volume:2 ; number:4 ; year:2012 ; pages:398-411 ; extent:14 ; Open computer science ; 2, Heft 4 (2012), 398-411 (gesamt 14)

Contributors, Places and Time

• Creator: Chifu, Adrian-Gabriel ; Ionescu, Radu-Tudor

Further information

• DOI: 10.2478/s13537-012-0032-6
• URN: urn:nbn:de:101:1-2410301517180.225160002209
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:28 AM CEST