S-NER: A Concise and Efficient Span-Based Model for Named Entity Recognition

Named entity recognition (NER) is a task that seeks to recognize entities in raw texts and is a precondition for a series of downstream NLP tasks. Traditionally, prior NER models use the sequence labeling mechanism which requires label dependency captured by the conditional random fields (CRFs). How...

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Detalles Bibliográficos
Autores principales: Yu, Jie, Ji, Bin, Li, Shasha, Ma, Jun, Liu, Huijun, Xu, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9030542/
https://www.ncbi.nlm.nih.gov/pubmed/35458837
http://dx.doi.org/10.3390/s22082852

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9030542/
https://www.ncbi.nlm.nih.gov/pubmed/35458837
http://dx.doi.org/10.3390/s22082852

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