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.
SupWSD: a flexible toolkit for supervised word sense disambiguation / Papandrea, Simone; Raganato, Alessandro; DELLI BOVI, Claudio. - ELETTRONICO. - (2017), pp. 103-108. (Intervento presentato al convegno Conference on Empirical Methods in Natural Language Processing tenutosi a Copenaghen, Danimarca nel 7-11 Settembre 2017).
SupWSD: a flexible toolkit for supervised word sense disambiguation
raganato, alessandro;DELLI BOVI, CLAUDIO
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.| File | Dimensione | Formato | |
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Papandrea_SupWSD_2017.pdf
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