The Second Cross-Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages

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http://hdl.handle.net/10138/307859

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Piskorski , J , Laskova , L , Marcińczuk , M , Pivovarova , L , Přibáň , P , Steinberger , J & Yangarber , R 2019 , The Second Cross-Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages . in Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing . ACL , Stroudsburg, PA , pp. 63–74 , Workshop on Balto-Slavic Natural Language Processing , Florence , Italy , 02/08/2019 . < https://www.aclweb.org/anthology/W19-37.pdf >

Title: The Second Cross-Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages
Author: Piskorski, Jakub; Laskova, Laska; Marcińczuk, Michał; Pivovarova, Lidia; Přibáň, Pavel; Steinberger, Josef; Yangarber, Roman
Contributor: University of Helsinki, Discovery Research Group/Prof. Hannu Toivonen
University of Helsinki, Helsinki Inequality Initiative (INEQ)
Publisher: ACL
Date: 2019
Language: eng
Number of pages: 12
Belongs to series: Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing
ISBN: 978-1-950737-41-3
URI: http://hdl.handle.net/10138/307859
Abstract: We describe the Second Multilingual Named Entity Challenge in Slavic languages. The task is recognizing mentions of named entities in Web documents, their normalization, and cross-lingual linking The Challenge was organized as part of the 7th Balto-Slavic Natural Language Processing Workshop, co-located with the ACL-2019 conference. Eight teams participated in the competition, which covered four languages and five entity types. Performance for the named entity recognition task reached 90% F-measure, much higher than reported in the first edition of the Challenge. Seven teams covered all four languages, and five teams participated in the cross-lingual entity linking task. Detailed evaluation information is available on the shared task web page.
Subject: 6121 Languages
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