Cross-lingual Named Entity Corpus for Slavic Languages

arXiv:2404.00482v1 Announce Type: cross
Abstract: This paper presents a corpus manually annotated with named entities for six Slavic languages - Bulgarian, Czech, Polish, Slovenian, Russian, and Ukrainian. This work is the result of a series of shared tasks, conducted in 2017-2023 as a part of the Workshops on Slavic Natural Language Processing. The corpus consists of 5 017 documents on seven topics. The documents are annotated with five classes of named entities. Each entity is described by a category, a …

abstract arxiv cross-lingual cs.ai cs.cl cs.lg czech language language processing languages natural natural language natural language processing paper part processing series six tasks type work workshops