Ontology Learning from Italian Legal Texts

Ontologies capture our knowledge of a specific domain. Because this knowledge is often encoded in unstructured natural language text, it is essential we develop reliable techniques that automatically extract ontologies from such sources. One logical area of application is the legal domain, where valuable knowledge is dispersed across thousands of documents.

Automatic Semantics Extraction in Law Documents

Automatic Semantics Extraction in Law Documents is a paper presented by Biagioli et al. at the International Conference on Artificial Intelligence and Law in 2005. It discusses two tasks: the automatic classification of law paragraphs into eleven semantic categories, and the extraction of the arguments present in those categories. It’s a promising first step towards making legislative content more accessible.