In this demonstration we present SUPWSD, a Java API for supervised Word Sense Disambiguation (WSD). This toolkit includes the implementation of a state-of-the-art supervised WSD system, together with a Natural Language Processing pipeline for preprocessing and feature extraction. Our aim is to provide an easy-to-use tool for the research community, designed to be modular, fast and scalable for training and testing on large datasets. The source code of SUPWSD is available at http://github.com/SI3P/SupWSD.
Papandrea, S., Raganato, A., Delli Bovi, C. (2017). SupWSD: a flexible toolkit for supervised word sense disambiguation. In EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings (pp.103-108). Association for Computational Linguistics [10.18653/v1/d17-2018].
SupWSD: a flexible toolkit for supervised word sense disambiguation
Raganato, A
;
2017
Abstract
In this demonstration we present SUPWSD, a Java API for supervised Word Sense Disambiguation (WSD). This toolkit includes the implementation of a state-of-the-art supervised WSD system, together with a Natural Language Processing pipeline for preprocessing and feature extraction. Our aim is to provide an easy-to-use tool for the research community, designed to be modular, fast and scalable for training and testing on large datasets. The source code of SUPWSD is available at http://github.com/SI3P/SupWSD.
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