Multilingual multi-aspect explainability analyses on machine reading comprehension models

Achieving human-level performance on some of the machine reading comprehension (MRC) datasets is no longer challenging with the help of powerful pre-trained language models (PLMs). However, the internal mechanism of these artifacts remains unclear, placing an obstacle to further understand these mod...

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Detalles Bibliográficos
Autores principales: Cui, Yiming, Zhang, Wei-Nan, Che, Wanxiang, Liu, Ting, Chen, Zhigang, Wang, Shijin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019247/
https://www.ncbi.nlm.nih.gov/pubmed/35465050
http://dx.doi.org/10.1016/j.isci.2022.104176

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019247/
https://www.ncbi.nlm.nih.gov/pubmed/35465050
http://dx.doi.org/10.1016/j.isci.2022.104176

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