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    <titleInfo>
        <title>pyMMAX2: Deep Access to MMAX2 Projects from Python</title>
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    <name type="personal">
        <namePart type="given">Mark-Christoph</namePart>
        <namePart type="family">Müller</namePart>
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            <title>Proceedings of the 14th Linguistic Annotation Workshop</title>
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            <namePart type="given">Stefanie</namePart>
            <namePart type="family">Dipper</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Amir</namePart>
            <namePart type="family">Zeldes</namePart>
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    <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 http://github.com/nlpAThits/pyMMAX2.</abstract>
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%0 Conference Proceedings
%T pyMMAX2: Deep Access to MMAX2 Projects from Python
%A Müller, Mark-Christoph
%Y Dipper, Stefanie
%Y Zeldes, Amir
%S Proceedings of the 14th Linguistic Annotation Workshop
%D 2020
%8 December
%I Association for Computational Linguistics
%C Barcelona, Spain
%F muller-2020-pymmax2
%X 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 http://github.com/nlpAThits/pyMMAX2.
%U https://aclanthology.org/2020.law-1.16
%P 167-173

Markdown (Informal)

[pyMMAX2: Deep Access to MMAX2 Projects from Python](https://aclanthology.org/2020.law-1.16) (Müller, LAW 2020)

• pyMMAX2: Deep Access to MMAX2 Projects from Python (Müller, LAW 2020)

ACL

• Mark-Christoph Müller. 2020. pyMMAX2: Deep Access to MMAX2 Projects from Python. In Proceedings of the 14th Linguistic Annotation Workshop, pages 167–173, Barcelona, Spain. Association for Computational Linguistics.