ru
ru
Source
LREC
DATE OF PUBLICATION
06/21/2022
Authors
Artem Shelmanov Elena Tutubalina Vladimir Ivanov Natalia Loukachevitch Pavel Braslavski Tatiana Batura Suresh Manandhar
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Entity Linking over Nested Named Entities for Russian

Information extraction, Entity linking, Nested named entities, Russian language

Abstract

In this paper, we describe entity linking annotation over nested named entities in the recently released Russian NEREL dataset for information extraction. The NEREL collection (Loukachevitch et al., 2021) is currently the largest Russian dataset annotated with entities and relations. The paper describes the main design principles behind NEREL’s entity linking annotation, provides its statistics, and reports evaluation results for several entity linking baselines. To date, 38,152 entity mentions in 933 documents are linked to Wikidata. The NEREL dataset is publicly available: https://github.com/nerel-ds/NEREL.

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