@inproceedings{enger-etal-2017-open,
    title = "An open-source tool for negation detection: a maximum-margin approach",
    author = "Enger, Martine  and
      Velldal, Erik  and
      {\O}vrelid, Lilja",
    editor = "Blanco, Eduardo  and
      Morante, Roser  and
      Saur{\'i}, Roser",
    booktitle = "Proceedings of the Workshop Computational Semantics Beyond Events and Roles",
    month = apr,
    year = "2017",
    address = "Valencia, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/W17-1810/",
    doi = "10.18653/v1/W17-1810",
    pages = "64--69",
    abstract = "This paper presents an open-source toolkit for negation detection. It identifies negation cues and their corresponding scope in either raw or parsed text using maximum-margin classification. The system design draws on best practice from the existing literature on negation detection, aiming for a simple and portable system that still achieves competitive performance. Pre-trained models and experimental results are provided for English."
}