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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...
Autores principales: | Güngör, Onur, Güngör, Tunga, Uskudarli, Suzan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
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 |
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