Matuschek, Michael ; Miller, Tristan ; Gurevych, Iryna
Hrsg.: Ruppenhofer, Josef ; Faaß, Gertrud (2014)
A Language-independent Sense Clustering Approach for Enhanced WSD.
Hildesheim, Germany
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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 GermaNet 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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2014 |
| Herausgeber: | Ruppenhofer, Josef ; Faaß, Gertrud |
| Autor(en): | Matuschek, Michael ; Miller, Tristan ; Gurevych, Iryna |
| Art des Eintrags: | Bibliographie |
| Titel: | A Language-independent Sense Clustering Approach for Enhanced WSD |
| Sprache: | Englisch |
| Publikationsjahr: | Oktober 2014 |
| Verlag: | Universitätsverlag Hildesheim |
| Buchtitel: | Proceedings of the 12th Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 2014) |
| Veranstaltungsort: | Hildesheim, Germany |
| URL / URN: | https://fileserver.ukp.informatik.tu-darmstadt.de/UKP_Webpag... |
| Zugehörige Links: | |
| Kurzbeschreibung (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 GermaNet 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. |
| Freie Schlagworte: | reviewed;UKP_a_LangTech4eHum |
| ID-Nummer: | TUD-CS-2014-0878 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
| Hinterlegungsdatum: | 31 Dez 2016 14:29 |
| Letzte Änderung: | 24 Jan 2020 12:03 |
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