Piera Santin
2022
Detecting Arguments in CJEU Decisions on Fiscal State Aid
Giulia Grundler
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Piera Santin
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Andrea Galassi
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Federico Galli
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Francesco Godano
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Francesca Lagioia
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Elena Palmieri
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Federico Ruggeri
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Giovanni Sartor
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Paolo Torroni
Proceedings of the 9th Workshop on Argument Mining
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.
Combining WordNet and Word Embeddings in Data Augmentation for Legal Texts
Sezen Perçin
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Andrea Galassi
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Francesca Lagioia
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Federico Ruggeri
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Piera Santin
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Giovanni Sartor
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Paolo Torroni
Proceedings of the Natural Legal Language Processing Workshop 2022
Creating balanced labeled textual corpora for complex tasks, like legal analysis, is a challenging and expensive process that often requires the collaboration of domain experts. To address this problem, we propose a data augmentation method based on the combination of GloVe word embeddings and the WordNet ontology. We present an example of application in the legal domain, specifically on decisions of the Court of Justice of the European Union.Our evaluation with human experts confirms that our method is more robust than the alternatives.
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Co-authors
- Andrea Galassi 2
- Francesca Lagioia 2
- Federico Ruggeri 2
- Giovanni Sartor 2
- Paolo Torroni 2
- show all...