LegalNERo: A linked corpus for named entity recognition in the Romanian legal domain-Reference-Cited by-同舟云学术

LegalNERo: A linked corpus for named entity recognition in the Romanian legal domain

Published:2023-06-05 Issue: Volume: Page:1-14
ISSN:2210-4968
Container-title:Semantic Web
language:
Short-container-title:SW

Author:

Păis, Vasile¹,Mitrofan Maria¹,Gasan Carol Luca¹,Ianov Alexandru¹,Ghit,ă Corvin¹,Coneschi Vlad Silviu¹,Onut, Andrei¹

Affiliation:

1. Research Institute for Artificial Intelligence “Mihai Drăgănescu”, Romanian Academy, Romania

Abstract

LegalNERo is a manually annotated corpus for named entity recognition in the Romanian legal domain. It provides gold annotations for organizations, locations, persons, time expressions and legal resources mentioned in legal documents. Furthermore, GeoNames identifiers are provided. The resource is available in multiple formats, including span-based, token-based and RDF. The Linked Open Data version is available for both download and querying using SPARQL.

Publisher

IOS Press

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

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