The First Cross-Lingual Challenge on Recognition, Normalization and Matching of Named Entities in Slavic Languages

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http://hdl.handle.net/10138/215622

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Piskorski , J , Pivovarova , L , Šnajder , J , Steinberger , J & Yangarber , R 2017 , The First Cross-Lingual Challenge on Recognition, Normalization and Matching of Named Entities in Slavic Languages . in Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing . The Association for Computational Linguistics , Stroudsburg, PA , pp. 76-85 , Workshop on Balto-Slavic Natural Language Processing , Valencia , Spain , 04/04/2017 .

Title: The First Cross-Lingual Challenge on Recognition, Normalization and Matching of Named Entities in Slavic Languages
Author: Piskorski, Jakub; Pivovarova, Lidia; Šnajder, Jan; Steinberger, Josef; Yangarber, Roman
Contributor: University of Helsinki, Department of Computer Science
University of Helsinki, Department of Computer Science
Publisher: The Association for Computational Linguistics
Date: 2017
Language: eng
Number of pages: 10
Belongs to series: Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing
ISBN: 978-1-945626-45-6
URI: http://hdl.handle.net/10138/215622
Abstract: This paper describes the outcomes of the First Multilingual Named Entity Challenge in Slavic Languages. The Challenge targets recognizing mentions of named entities in web documents, their normalization/lemmatization, and cross-lingual matching. The Challenge was organized in the context of the 6th Balto-Slavic Natural Language Processing Workshop, co-located with the EACL-2017 conference. Eleven teams registered for the evaluation, two of which submitted results on schedule, due to the complexity of the tasks and short time available for elaborating a solution. The reported evaluation figures reflect the relatively higher level of complexity of named entity tasks in the context of Slavic languages. Since the Challenge extends beyond the date of the publication of this paper, updates to the results of the participating systems can be found on the official web page of the Challenge.
Subject: 113 Computer and information sciences
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