Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages - Babych, Bogdan; Kancheva, Zara; Kanishcheva, Olga; Lebedeva, Maria; Marcinczuk, Michał; Nakov, Preslav; Osenova, Petya; Pivovarova, Lidia; Pollak, Senja; Pribá, Pavel; Radev, Ivaylo; Robnik-Šikonja, Marko; et al. (Zenodo, 2021)
This paper describes Slav-NER: the 3rd Multilingual Named Entity Challenge in Slavic languages. The tasks involve recognizing mentions of named entities in Web documents, normalization of the names, and crosslingual linking. The Challenge covers six languages and five entity types, and is organized as part of the 8th Balto-Slavic Natural Language Processing Workshop, co-located with the EACL 2021 Conference. Ten teams participated in the competition. Performance for the named entity recognition task reached 90% Fmeasure, much higher than reported in the first edition of the Challenge. Seven teams covered all six languages. Detailed evaluation information is available on the shared task web page.
NewsEye: A Digital Investigator for Historical Newspapers
Keywords: cc-by-4.0