A hybrid Web-based measure for computing semantic relatedness between words

Spanakis, G; Siolas, G; Stafylopatis, A

dc.contributor.author	Spanakis, G	en
dc.contributor.author	Siolas, G	en
dc.contributor.author	Stafylopatis, A	en
dc.date.accessioned	2014-03-01T02:45:53Z
dc.date.available	2014-03-01T02:45:53Z
dc.date.issued	2009	en
dc.identifier.issn	10823409	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32444
dc.subject	Computational Semantics	en
dc.subject	Information Retrieval	en
dc.subject	semantic relatedness	en
dc.subject	Semantic Relations	en
dc.subject	Support Vector Machine	en
dc.subject	Web Mining	en
dc.subject	Web Search Engine	en
dc.subject.other	Benchmark datasets	en
dc.subject.other	Hypernyms	en
dc.subject.other	Regression problem	en
dc.subject.other	Semantic relatedness	en
dc.subject.other	Semantically-related words	en
dc.subject.other	Similarity scores	en
dc.subject.other	Web search engines	en
dc.subject.other	Wordnet	en
dc.subject.other	Artificial intelligence	en
dc.subject.other	Information retrieval	en
dc.subject.other	Information services	en
dc.subject.other	Natural language processing systems	en
dc.subject.other	Search engines	en
dc.subject.other	Semantic Web	en
dc.subject.other	Semantics	en
dc.subject.other	World Wide Web	en
dc.title	A hybrid Web-based measure for computing semantic relatedness between words	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICTAI.2009.64	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICTAI.2009.64	en
heal.identifier.secondary	5363726	en
heal.publicationDate	2009	en
heal.abstract	In this paper, we build a hybrid Web-based metric for computing semantic relatedness between words. The method exploits page counts, titles, snippets and URLs returned by a Web search engine. Our technique uses traditional information retrieval methods and is enhanced by page-count-based similarity scores which are integrated with automatically extracted lexico-synantic patterns from titles, snippets and URLs for all kinds of semantically related words provided by WordNet (synonyms, hypernyms, meronyms, antonyms). A support vector machine is used to solve the arising regression problem of word relatedness and the proposed method is evaluated on standard benchmark datasets. The method achieves an overall correlation of 0.88, which is the highest among other metrics up to date. © 2009 IEEE.	en
heal.journalName	Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI	en
dc.identifier.doi	10.1109/ICTAI.2009.64	en
dc.identifier.spage	441	en
dc.identifier.epage	448	en