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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3ACRY2CSVD" target="_blank" >RIV/00216208:11320/25:CRY2CSVD - isvavai.cz</a>

  • Result on the web

    <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193744770&doi=10.3233%2fSW-233351&partnerID=40&md5=dc114a53319f233d08598dcb86d605bf" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193744770&doi=10.3233%2fSW-233351&partnerID=40&md5=dc114a53319f233d08598dcb86d605bf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3233/SW-233351" target="_blank" >10.3233/SW-233351</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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. © 2024 - The authors. Published by IOS Press.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Semantic Web

  • ISSN

    1570-0844

  • e-ISSN

  • Volume of the periodical

    15

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    14

  • Pages from-to

    831-844

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85193744770