Word sense disambiguation and the application on internet search

Jason C. Hung, Che Yu Yang, Timothy K. Shih

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

All human languages have words that can mean different things in different contexts, such words with multiple meanings are potentially “ambiguous”. The process of “deciding which of several meanings of a term is intended in a given context” is known as “Word Sense Disambiguation (WSD)”. In this research, we investigated a hybrid method which combines “Wordnet ontology” and “concept co-occurrence statistics”, to determine the degree of semantic relatedness between two lexically expressed concepts. Then we applied it in the WSD task, and the experimental results showed the good performance. Finally we give an example application of our work on Internet search. We demonstrated how to use Wordnet to expand search query, and how to utilize the WSD technique to filter out the noise in search results.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationDMS 2005 - 11th International Conference on Distributed Multimedia Systems
PublisherKnowledge Systems Institute Graduate School
Pages361-366
Number of pages6
ISBN (Electronic)1891706179
StatePublished - 2005
Event11th International Conference on Distributed Multimedia Systems, DMS 2005 - Banff, Canada
Duration: 5 Sep 20057 Sep 2005

Publication series

NameProceedings: DMS 2005 - 11th International Conference on Distributed Multimedia Systems

Conference

Conference11th International Conference on Distributed Multimedia Systems, DMS 2005
Country/TerritoryCanada
CityBanff
Period5/09/057/09/05

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