Article published In:
Advances in Frame Semantics[Constructions and Frames 3:1] 2011
► pp. 46–79
Semantic annotation of Italian legal texts
A FrameNet-based approach
The FrameNet approach to text semantic annotation can be a reliable model to make the linguistic information and semantic content of legal texts explicit. This hypothesis is discussed and empirically demonstrated through a trial of annotating a corpus of Italian legal texts. This study aims to show that FrameNet is particularly appropriate to provide new perspectives for legal language studies and for legal knowledge representation tasks. Moreover, by relying on the output of a statistical dependency parser, the FrameNet-based annotation methodology presented here can be used successfully in the automatic semantic processing of legal texts.
Cited by (2)
Cited by two other publications
Coltrinari, Riccardo, Alessandro Antinori & Fabio Celli
2020. Surviving the Legal Jungle: Text Classification of Italian Laws in extremely Noisy conditions. In Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020, ► pp. 122 ff. 
Čulo, Oliver
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