EXSEQREG: Explaining sequence-based NLP tasks with regions with a case study using morphological features for named entity recognition

The state-of-the-art systems for most natural language engineering tasks employ machine learning methods. Despite the improved performances of these systems, there is a lack of established methods for assessing the quality of their predictions. This work introduces a method for explaining the predic...

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Detalles Bibliográficos
Autores principales: Güngör, Onur, Güngör, Tunga, Uskudarli, Suzan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773252/
https://www.ncbi.nlm.nih.gov/pubmed/33378340
http://dx.doi.org/10.1371/journal.pone.0244179

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773252/
https://www.ncbi.nlm.nih.gov/pubmed/33378340
http://dx.doi.org/10.1371/journal.pone.0244179

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