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Author(s): Matuschek, Michael; Gurevych, Iryna
Title: Dijkstra-WSA: A graph-based approach to word sense alignment
In: Transactions of the Association for Computational Linguistics (TACL), 1 (2013) , S. 151-164
URL: http://www.transacl.org/wp-content/uploads/2013/05/paper151.pdf
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language: Englisch
Keywords: Algorithmus; Computerlinguistik; Computerunterstütztes Verfahren; Evaluation; Methode; Semantik; Textanalyse
Abstract (english): In this paper, we present Dijkstra-WSA, a novel graph-based algorithm for word sense alignment. We evaluate it on four different pairs of lexical-semantic resources with different characteristics (WordNet-OmegaWiki, WordNet-Wiktionary, GermaNet-Wiktionary and WordNet-Wikipedia) and show that it achieves competitive performance on 3 out of 4 datasets. Dijkstra-WSA outperforms the state of the art on every dataset if it is combined with a back-off based on gloss similarity. We also demonstrate that Dijkstra-WSA is not only flexibly applicable to different resources but also highly parameterizable to optimize for precision or recall.
DIPF-Departments: Informationszentrum Bildung