SupWSD: A Flexible Toolkit for Supervised Word Sense Disambiguation
Simone Papandrea | Alessandro Raganato | Claudio Delli Bovi
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
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.