Low-Resource POS Tagging With Deep Affix Representation and Multi-Head Attention

Part-of-speech (POS) tagging is a challenging and foundational task in the field of natural language processing (NLP), which commonly leverages the learned representations of individual word and character encodings within those words. However, neither of these representations explicitly leverage the...

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Detalles Bibliográficos

Principais autores:	Alim Murat, Samat Ali
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2024-01-01
Series:	IEEE Access
Assuntos:	POS tagging affix representation multi-head attention morphologically rich language (MRL) low resource
Acceso en liña:	https://ieeexplore.ieee.org/document/10510387/
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