NEREL: A Russian Dataset with Nested Named Entities and Relations

• URL: http://arxiv.org/abs/2108.13112v1
• Date: Mon, 30 Aug 2021 10:40:20 GMT
• Title: NEREL: A Russian Dataset with Nested Named Entities and Relations
• Authors: Natalia Loukachevitch and Ekaterina Artemova and Tatiana Batura and Pavel Braslavski and Ilia Denisov and Vladimir Ivanov and Suresh Manandhar and Alexander Pugachev and Elena Tutubalina
• Abstract summary: We present NEREL, a Russian dataset for named entity recognition and relation extraction. It contains 56K annotated named entities and 39K annotated relations.
• Score: 55.69103749079697
• License: http://creativecommons.org/licenses/by/4.0/
• 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.

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