Sense-Annotated Corpus for Russian

The resource was obtained my manually annotating texts from the OpenCorpora corpus by senses of the Russian wordnet RuWordNet.

Statistics:

Entity	Count
Documents	807
Sentences	6,751
Tokens	109,893
Annotated tokens	46,320
Lexical entries	17,126
Annotated lexical entries	10,683
RuWordNet synsets	8,619

Please, cite as:

Alexander Kirillovich, Natalia Loukachevitch, Maksim Kulaev, Angelina Bolshina, Dmitry Ilvovsky. Sense-Annotated Corpus for Russian // Proceedings of the 5th International Conference on Computational Linguistics in Bulgaria (CLIB 2022), Sofia, Bulgaria, 8–9 September 2022. Bulgarian Academy of Sciences (forthcoming).

Distributed under:

Creative Commons Attribution-ShareAlike License (CC BY-SA 4.0).

For any questions:

alik.kirillovich@gmail.com.