Picture for Ilia Denisov

Ilia Denisov

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

Add code
Sep 03, 2021
Natalia Loukachevitch, Ekaterina Artemova, Tatiana Batura, Pavel Braslavski, Ilia Denisov, Vladimir Ivanov, Suresh Manandhar, Alexander Pugachev, Elena Tutubalina

Figure 1 for NEREL: A Russian Dataset with Nested Named Entities, Relations and Events
Figure 2 for NEREL: A Russian Dataset with Nested Named Entities, Relations and Events
Figure 3 for NEREL: A Russian Dataset with Nested Named Entities, Relations and Events
Figure 4 for NEREL: A Russian Dataset with Nested Named Entities, Relations and Events

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.

* accepted to RANLP 
Viaarxiv icon
Github IconAccess Paper or Ask Questions
Twitter IconFacebook IconLinkedin IconWhatsapp IconMessenger Icon