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Slav-NER: the 4th Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F23%3A43970156" target="_blank" >RIV/49777513:23520/23:43970156 - isvavai.cz</a>

  • Result on the web

    <a href="https://aclanthology.org/2023.bsnlp-1.21/" target="_blank" >https://aclanthology.org/2023.bsnlp-1.21/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.18653/v1/2023.bsnlp-1.21" target="_blank" >10.18653/v1/2023.bsnlp-1.21</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Slav-NER: the 4th Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages

  • Original language description

    This paper describes Slav-NER: the 4th Multilingual Named Entity Challenge in Slavic languages. The tasks involve recognizing mentions of named entities in Web documents, normalization of the names, and cross-lingual linking. This version of the Challenge covers three languages and five entity types. It is organized as part of the 9th Slavic Natural Language Processing Workshop, co-located with the EACL 2023 Conference. Seven teams registered and three participated actively in the competition. Performance for the named entity recognition and normalization tasks reached 90% F1 measure, much higher than reported in the first edition of the Challenge, but similar to the results reported in the latest edition. Performance for the entity linking task for individual language reached the range of 72-80% F1 measure. Detailed evaluation information is available on the Shared Task web page.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 9th Workshop on Slavic Natural Language Processing 2023 (SlavicNLP 2023)

  • ISBN

    978-1-959429-57-9

  • ISSN

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    179-189

  • Publisher name

    Association for Computational Linguistics (ACL)

  • Place of publication

    Stroudsburg

  • Event location

    Dubrovník

  • Event date

    May 5, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article