@inproceedings{schneider-wooters-2017-nltk,
    title = "The {NLTK} {F}rame{N}et {API}: Designing for Discoverability with a Rich Linguistic Resource",
    author = "Schneider, Nathan  and
      Wooters, Chuck",
    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://aclanthology.org/D17-2001",
    doi = "10.18653/v1/D17-2001",
    pages = "1--6",
    abstract = "A new Python API, integrated within the NLTK suite, offers access to the FrameNet 1.7 lexical database. The lexicon (structured in terms of frames) as well as annotated sentences can be processed programatically, or browsed with human-readable displays via the interactive Python prompt.",
}