Simone Tedeschi, Roberto Navigli. MultiNERD: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (and Disambiguation). In Marine Carpuat, Marie-Catherine de Marneffe, Iván Vladimir Meza Ruíz, editors, Findings of the Association for Computational Linguistics: NAACL 2022, Seattle, WA, United States, July 10-15, 2022. pages 801-812, Association for Computational Linguistics, 2022. [doi]
@inproceedings{TedeschiN22,
title = {MultiNERD: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (and Disambiguation)},
author = {Simone Tedeschi and Roberto Navigli},
year = {2022},
url = {https://aclanthology.org/2022.findings-naacl.60},
researchr = {https://researchr.org/publication/TedeschiN22},
cites = {0},
citedby = {0},
pages = {801-812},
booktitle = {Findings of the Association for Computational Linguistics: NAACL 2022, Seattle, WA, United States, July 10-15, 2022},
editor = {Marine Carpuat and Marie-Catherine de Marneffe and Iván Vladimir Meza Ruíz},
publisher = {Association for Computational Linguistics},
isbn = {978-1-955917-76-6},
}