-
-
Autor*innen: Matuschek, Michael; Miller, Tristan; Gurevych, Iryna
Titel: A language-independent sense clustering approach for enhanced WSD
Aus: 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
Dokumenttyp: 4. Beiträge in Sammelbänden; Tagungsband/Konferenzbeitrag/Proceedings
Sprache: Englisch
Schlagwörter: 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-Abteilung: Informationszentrum Bildung