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SemEval-2010 Task 17: All-words Word Sense Disambiguation on a Specific Domain

Contributo in Atti di convegno
Data di Pubblicazione:
2009
Abstract:
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.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
I.2.7 Natural Language Processing; NLP; Word Sense Disambiguation
Elenco autori:
Marchetti, Andrea
Autori di Ateneo:
MARCHETTI ANDREA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/75940
Titolo del libro:
Proceeding DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
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