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Autor:
Matuschek, Michael; Gurevych, Iryna:

Titel:
Dijkstra-WSA: A graph-based approach to word sense alignment

Quelle:
In: Transactions of the Association for Computational Linguistics (TACL), 1 (2013) , 151-164

URL des Volltextes:
http://www.transacl.org/wp-content/uploads/2013/05/paper151.pdf

Sprache:
Englisch

Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)

Schlagwörter:
Algorithmus, Computerlinguistik, Computerunterstütztes Verfahren, Evaluation, Methode, Semantik, Textanalyse


Abstract(englisch):
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.


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last modified Nov 11, 2016