Hamps Lilliehöök
Department of Computer and Information Science, Linköping University, Sweden
Magnus Merkel
Department of Computer and Information Science, Linköping University, Sweden
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Published in: Proceedings of the workshop on lexical semantic resources for NLP at NODALIDA 2013; May 22-24; 2013; Oslo; Norway. NEALT Proceedings Series 19
Linköping Electronic Conference Proceedings 88:4, p. 21-35
NEALT Proceedings Series 19:4, p. 21-35
Published: 2013-05-17
ISBN: 978-91-7519-586-5
ISSN: 1650-3686 (print), 1650-3740 (online)
In this article we describe work on creating word clusters in two steps. First; a graph-based approach to semantic mirroring is used to create primary synonym clusters from a bilingual lexicon. Secondly; the data is represented by vectors in a large vector space and a resource of synonym clusters is then constructed by performing K-means centroid-based clustering on the vectors. We evaluate the results automatically against WordNet and evaluate a sample of word clusters manually. Prospects and applications of the approach are also discussed.
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