Relating Legal Entities via Open Information Extraction

Giovanni Siragusa, Rohan Nanda, Valeria de Paiva, Luigi Di Caro

Research output: Contribution to conferencePaperAcademic


Concepts and relations within existing ontologies usually represent limited subjective and application-oriented views of a domain of interest. However, reusing resources and fine-grained conceptualizations is often challenging and requires significant manual efforts of adaptation to fit with unprecedented usages. In this paper, we present a system that makes use of recent open information extraction technologies to unravel and explore corpus-centered unknown relations in the legal domain.keywordsopen information extractionnatural language processingontologieslegal conceptslegal textiate.
Original languageEnglish
Publication statusPublished - 2018
Externally publishedYes

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