Výsledky vyhledávání - "Nested named entities"

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NEREL-BIO: A Dataset of Biomedical Abstracts Annotated with Nested Named Entities

Autor: Loukachevitch, Natalia, Manandhar, Suresh, Baral, Elina, Rozhkov, Igor, Braslavski, Pavel, Ivanov, Vladimir, Batura, Tatiana, Tutubalina, Elena

Publikováno v: Bioinformatics, Volume 39, Issue 4, April 2023, btad161

This paper describes NEREL-BIO -- an annotation scheme and corpus of PubMed abstracts in Russian and smaller number of abstracts in English. NEREL-BIO extends the general domain dataset NEREL by introducing domain-specific entity types. NEREL-BIO ann

Externí odkaz: http://arxiv.org/abs/2210.11913

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Mulco: Recognizing Chinese Nested Named Entities Through Multiple Scopes

Autor: Yang, Jiuding, Luo, Jinwen, Guo, Weidong, Chen, Jerry, Niu, Di, Xu, Yu

Nested Named Entity Recognition (NNER) has been a long-term challenge to researchers as an important sub-area of Named Entity Recognition. NNER is where one entity may be part of a longer entity, and this may happen on multiple levels, as the term ne

Externí odkaz: http://arxiv.org/abs/2211.10854

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RuNNE-2022 Shared Task: Recognizing Nested Named Entities

Autor: Artemova, Ekaterina, Zmeev, Maxim, Loukachevitch, Natalia, Rozhkov, Igor, Batura, Tatiana, Ivanov, Vladimir, Tutubalina, Elena

The RuNNE Shared Task approaches the problem of nested named entity recognition. The annotation schema is designed in such a way, that an entity may partially overlap or even be nested into another entity. This way, the named entity "The Yermolova Th

Externí odkaz: http://arxiv.org/abs/2205.11159

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

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

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 i

Externí odkaz: http://arxiv.org/abs/2108.13112

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DaN+: Danish Nested Named Entities and Lexical Normalization

Autor: Plank, Barbara, Jensen, Kristian Nørgaard, van der Goot, Rob

This paper introduces DaN+, a new multi-domain corpus and annotation guidelines for Danish nested named entities (NEs) and lexical normalization to support research on cross-lingual cross-domain learning for a less-resourced language. We empirically

Externí odkaz: http://arxiv.org/abs/2105.11301

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