Cargando…
Text normalization for named entity recognition in Vietnamese tweets
BACKGROUND: Named entity recognition (NER) is a task of detecting named entities in documents and categorizing them to predefined classes, such as person, location, and organization. This paper focuses on tweets posted on Twitter. Since tweets are noisy, irregular, brief, and include acronyms and sp...
Autores principales: | Nguyen, Vu H., Nguyen, Hien T., Snasel, Vaclav |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5749168/ https://www.ncbi.nlm.nih.gov/pubmed/29355207 http://dx.doi.org/10.1186/s40649-016-0032-0 |
Ejemplares similares
-
n-Gram-Based Text Compression
por: Nguyen, Vu H., et al.
Publicado: (2016) -
Impact of translation on named-entity recognition in radiology texts
por: Campos, Luís, et al.
Publicado: (2017) -
Evaluation of a Concept Mapping Task Using Named Entity Recognition and Normalization in Unstructured Clinical Text
por: Trivedi, Sapna, et al.
Publicado: (2020) -
Named Entity Recognition of Medical Text Based on the Deep Neural Network
por: Yang, Tianjiao, et al.
Publicado: (2022) -
Retracted: Named Entity Recognition of Medical Text Based on the Deep Neural Network
por: Healthcare Engineering, Journal of
Publicado: (2023)