NEREL: a Russian information extraction dataset with rich annotation for nested entities, relations, and wikidata entity links.

This paper describes NEREL—a Russian news dataset suited for three tasks: nested named entity recognition, relation extraction, and entity linking. Compared to flat entities, nested named entities provide a richer and more complete annotation while also increasing the coverage of relations annotatio...

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Detalles Bibliográficos

Publicado en:	Language Resources & Evaluation Vol. 58; no. 2; pp. 547 - 584
Autores principales:	Loukachevitch, Natalia, Artemova, Ekaterina, Batura, Tatiana, Braslavski, Pavel, Ivanov, Vladimir, Manandhar, Suresh, Pugachev, Alexander, Rozhkov, Igor, Shelmanov, Artem, Tutubalina, Elena, Yandutov, Alexey
Formato:	Artículo
Publicado:	Springer Nature Jun2024
Materias:	Data mining Annotations News websites
Acceso en línea:	Ver este registro en EBSCOhost