
Argumentation Structure Prediction in CJEU Decisions on Fiscal State Aid
We study how propositions are combined inhigher-level structures and how the relations between propositionscan be predicted by NLP models.

We study how propositions are combined inhigher-level structures and how the relations between propositionscan be predicted by NLP models.

We posit that in this domain useful explanations of classifier outcomes can be provided by resorting to legal rationales.

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.