SemEval-2010 task 17: All-wordsWord sense disambiguation on a specific domain
| Autor: | Agirre, Eneko, De Lacalle, Oier Lopez, Fellbaum, Christiane, Marchetti, Andrea, Toral, Antonio, Vossen, Piek, Ostendorf, Mari, Collins, Michael, Narayanan, Shri, Oard, Douglas W., Vanderwende, Lucy |
|---|---|
| Přispěvatelé: | Language |
| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: | |
| Zdroj: | SEW 2009-Semantic Evaluations: Recent Achievements and Future Directions at the 2009 North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2009-Proceedings, 123-128 STARTPAGE=123;ENDPAGE=128;TITLE=SEW 2009-Semantic Evaluations |
| Popis: | Domain portability and adaptation of NLP components and Word Sense Disambiguation systems present new challenges. The difficulties found by supervised systems to adapt might change the way we assess the strengths and weaknesses of supervised and knowledgebased WSD systems. Unfortunately, all existing evaluation datasets for specific domains are lexical-sample corpora. With this paper we want to motivate the creation of an allwords test dataset for WSD on the environment domain in several languages, and present the overall design of this SemEval task. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|