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Abstract

The successful application of argument mining in the legal domain can dramatically impact many disciplines related to law. For this purpose, we present Demosthenes, a novel corpus for argument mining in legal documents, composed of 40 decisions of the Court of Justice of the European Union on matters of fiscal state aid. The annotation specifies three hierarchical levels of information: the argumentative elements, their types, and their argument schemes. In our experimental evaluation, we address 4 different classification tasks, combining advanced language models and traditional classifiers.

Citation

Giulia Grundler, Piera Santin, Andrea Galassi, Federico Galli, Francesco Godano, Francesca Lagioia, Elena Palmieri, Federico Ruggeri, Giovanni Sartor, and Paolo Torroni. 2022. Detecting Arguments in CJEU Decisions on Fiscal State Aid. In Proceedings of the 9th Workshop on Argument Mining, pages 143–157, Online and in Gyeongju, Republic of Korea. International Conference on Computational Linguistics.

@inproceedings{grundler-etal-2022-detecting,
    title = "Detecting Arguments in {CJEU} Decisions on Fiscal State Aid",
    author = "Grundler, Giulia  and
      Santin, Piera  and
      Galassi, Andrea  and
      Galli, Federico  and
      Godano, Francesco  and
      Lagioia, Francesca  and
      Palmieri, Elena  and
      Ruggeri, Federico  and
      Sartor, Giovanni  and
      Torroni, Paolo",
    editor = "Lapesa, Gabriella  and
      Schneider, Jodi  and
      Jo, Yohan  and
      Saha, Sougata",
    booktitle = "Proceedings of the 9th Workshop on Argument Mining",
    month = oct,
    year = "2022",
    address = "Online and in Gyeongju, Republic of Korea",
    publisher = "International Conference on Computational Linguistics",
    url = "https://aclanthology.org/2022.argmining-1.14/",
    pages = "143--157",
    abstract = "The successful application of argument mining in the legal domain can dramatically impact many disciplines related to law. For this purpose, we present Demosthenes, a novel corpus for argument mining in legal documents, composed of 40 decisions of the Court of Justice of the European Union on matters of fiscal state aid. The annotation specifies three hierarchical levels of information: the argumentative elements, their types, and their argument schemes. In our experimental evaluation, we address 4 different classification tasks, combining advanced language models and traditional classifiers."
}