NEREL: A Russian Dataset with Nested Named Entities, Relations and Events

Natalia Loukachevitch, Ekaterina Artemova, Tatiana Batura, Pavel Braslavski, Ilia Denisov, Vladimir Ivanov, Suresh Manandhar, Alexander Pugachev, Elena Tutubalina


Abstract
In this paper, we present NEREL, a Russian dataset for named entity recognition and relation extraction. NEREL is significantly larger than existing Russian datasets: to date it contains 56K annotated named entities and 39K annotated relations. Its important difference from previous datasets is annotation of nested named entities, as well as relations within nested entities and at the discourse level. NEREL can facilitate development of novel models that can extract relations between nested named entities, as well as relations on both sentence and document levels. NEREL also contains the annotation of events involving named entities and their roles in the events. The NEREL collection is available via https://github.com/nerel-ds/NEREL.
Anthology ID:
2021.ranlp-1.100
Volume:
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
Month:
September
Year:
2021
Address:
Held Online
Venue:
RANLP
SIG:
Publisher:
INCOMA Ltd.
Note:
Pages:
876–885
Language:
URL:
https://aclanthology.org/2021.ranlp-1.100
DOI:
Bibkey:
Cite (ACL):
Natalia Loukachevitch, Ekaterina Artemova, Tatiana Batura, Pavel Braslavski, Ilia Denisov, Vladimir Ivanov, Suresh Manandhar, Alexander Pugachev, and Elena Tutubalina. 2021. NEREL: A Russian Dataset with Nested Named Entities, Relations and Events. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), pages 876–885, Held Online. INCOMA Ltd..
Cite (Informal):
NEREL: A Russian Dataset with Nested Named Entities, Relations and Events (Loukachevitch et al., RANLP 2021)
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PDF:
https://aclanthology.org/2021.ranlp-1.100.pdf
Data
CoNLL-2003DocREDNNE