RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm

Answer selection (AS) is a critical subtask of the open-domain question answering (QA) problem. The present paper proposes a method called RLAS-BIABC for AS, which is established on attention mechanism-based long short-term memory (LSTM) and the bidirectional encoder representations from transformer...

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Detalles Bibliográficos
Autores principales: Gharagozlou, Hamid, Mohammadzadeh, Javad, Bastanfard, Azam, Ghidary, Saeed Shiry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106472/
https://www.ncbi.nlm.nih.gov/pubmed/35571722
http://dx.doi.org/10.1155/2022/7839840

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106472/
https://www.ncbi.nlm.nih.gov/pubmed/35571722
http://dx.doi.org/10.1155/2022/7839840

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