Relating Legal Entities via Open Information Extraction

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

doi:10.1007/978-3-030-14401-2_17

Relating Legal Entities via Open Information Extraction

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

^*Corresponding author for this work

Research output: Contribution to conference › Paper › Academic

Abstract

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 language	English
Pages	181-187
DOIs	https://doi.org/10.1007/978-3-030-14401-2_17
Publication status	Published - 2018
Externally published	Yes

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author = "Giovanni Siragusa and Rohan Nanda and Paiva, {Valeria de} and Caro, {Luigi Di}",

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AU - Caro, Luigi Di

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PY - 2018

Y1 - 2018

N2 - 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.

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ER -

Relating Legal Entities via Open Information Extraction

Abstract

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