@inproceedings{papandrea-etal-2017-supwsd,
    title = "{S}up{WSD}: A Flexible Toolkit for Supervised Word Sense Disambiguation",
    author = "Papandrea, Simone  and
      Raganato, Alessandro  and
      Delli Bovi, Claudio",
    editor = "Specia, Lucia  and
      Post, Matt  and
      Paul, Michael",
    booktitle = "Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    month = sep,
    year = "2017",
    address = "Copenhagen, Denmark",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/D17-2018/",
    doi = "10.18653/v1/D17-2018",
    pages = "103--108",
    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 \url{http://github.com/SI3P/SupWSD}."
}