Helping Swedish words come to their senses: word-sense disambiguation based on sense associations from the SALDO lexicon

Ildikó Pilán
Språkbanken, Dept. of Swedish, University of Gothenburg, Gothenburg, Sweden

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Ingår i: Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania

Linköping Electronic Conference Proceedings 109:36, s. 275-279

NEALT Proceedings Series 23:36, p. 275-279

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Publicerad: 2015-05-06

ISBN: 978-91-7519-098-3

ISSN: 1650-3686 (tryckt), 1650-3740 (online)


We report the initial results of a word-sense disambiguation experiment which aims at identifying the correct sense of Swedish nouns and verbs in a sentence using a lexical-semantic resource, SALDO. This resource containing associations between word senses has not been previously used for this purpose. The proposed method is based on overlaps between a list of hierarchically organized related word senses. Overall, our approach proved more efficient for nouns, since not only was the accuracy score higher for nouns (56%) than for verbs (46%), but, for the former category, in 22% more of the cases was a sense overlap found. As a result of an in-depth analysis of the predictions, we identified a number of ways the system could be modified or extended for an improved performance.


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