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Author(s): Matuschek, Michael; Miller, Tristan; Gurevych, Iryna
Title: A language-independent sense clustering approach for enhanced WSD
In: Ruppenhofer, Josef;Faaß, Gertrud (Hrsg.): Proceedings of the12th edition of the Konvens Conference, Hildesheim: Universitätsverlag Hildesheim, 2014 , S. 11-21
URL: http://nbn-resolving.de/urn:nbn:de:gbv:hil2-opus-2893
Publication Type: 4. Beiträge in Sammelbänden; Tagungsband/Konferenzbeitrag/Proceedings
Language: Englisch
Keywords: Computerlinguistik; Semantik; Sinn; Sprachwissenschaft; Wort; Wortschatz
Abstract: We present a method for clustering word senses of a lexical-semantic resource by mapping them to those of another sense inventory. This is a promising way of reducing polysemy in sense inventories and consequently improving word sense disambiguation performance. In contrast to previous approaches, we use Dijkstra-WSA, a parameterizable alignment algorithm which is largely resource- and language-agnostic. To demonstrate this, we apply our technique to GermaNet, the German equivalent to WordNet. The Germa- Net sense clusterings we induce through alignments to various collaboratively constructed resources achieve a significant boost in accuracy, even though our method is far less complex and less dependent on language-specific knowledge than past approaches. (DIPF/Orig.)
DIPF-Departments: Informationszentrum Bildung