Adaptable Closed-Domain Question Answering Using Contextualized CNN-Attention Models and Question Expansion

Abazari Kia, Mahsa, Garifullina, Aygul, Kern, Mathias, Chamberlain, Jon and Jameel, Shoaib (2022) Adaptable Closed-Domain Question Answering Using Contextualized CNN-Attention Models and Question Expansion. IEEE Access, 10. pp. 45080-45092. ISSN 2169-3536

Preview

Text Adaptable_Closed-Domain_Question_Answering_Using_Contextualized_CNN-Attention_Models_and_Question_Expansion.pdf Available under License Creative Commons Attribution. Download (1MB)

Official URL:	https://doi.org/10.1109/ACCESS.2022.3170466
Item Type:	Article
Disciplines:	Computing, Maths, Engineering and Natural Sciences > Computer Science
Depositing User:	Mahsa Abazari
Date Deposited:	12 Sep 2024 13:16
Last Modified:	16 Oct 2024 12:27
URI:	https://nul.repository.guildhe.ac.uk/id/eprint/2171

Actions (login required)

Edit Item