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    <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.</abstract>
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%0 Conference Proceedings
%T SupWSD: A Flexible Toolkit for Supervised Word Sense Disambiguation
%A Papandrea, Simone
%A Raganato, Alessandro
%A Delli Bovi, Claudio
%Y Specia, Lucia
%Y Post, Matt
%Y Paul, Michael
%S Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F papandrea-etal-2017-supwsd
%X 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.
%R 10.18653/v1/D17-2018
%U https://aclanthology.org/D17-2018
%U https://doi.org/10.18653/v1/D17-2018
%P 103-108

Markdown (Informal)

[SupWSD: A Flexible Toolkit for Supervised Word Sense Disambiguation](https://aclanthology.org/D17-2018) (Papandrea et al., EMNLP 2017)

• SupWSD: A Flexible Toolkit for Supervised Word Sense Disambiguation (Papandrea et al., EMNLP 2017)

ACL

• Simone Papandrea, Alessandro Raganato, and Claudio Delli Bovi. 2017. SupWSD: A Flexible Toolkit for Supervised Word Sense Disambiguation. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 103–108, Copenhagen, Denmark. Association for Computational Linguistics.