@inproceedings{muller-2020-pymmax2,
    title = "py{MMAX}2: Deep Access to {MMAX}2 Projects from Python",
    author = {M{\"u}ller, Mark-Christoph},
    editor = "Dipper, Stefanie  and
      Zeldes, Amir",
    booktitle = "Proceedings of the 14th Linguistic Annotation Workshop",
    month = dec,
    year = "2020",
    address = "Barcelona, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Author-page-Marten-During-lu/2020.law-1.16/",
    pages = "167--173",
    abstract = "pyMMAX2 is an API for processing MMAX2 stand-off annotation data in Python. It provides a lightweight basis for the development of code which opens up the Java- and XML-based ecosystem of MMAX2 for more recent, Python-based NLP and data science methods. While pyMMAX2 is pure Python, and most functionality is implemented from scratch, the API re-uses the complex implementation of the essential business logic for MMAX2 annotation schemes by interfacing with the original MMAX2 Java libraries. pyMMAX2 is available for download at \url{http://github.com/nlpAThits/pyMMAX2}."
}