Adaptable Closed-Domain Question Answering Using Contextualized CNN-Attention Models and Question Expansion-Reference-Cited by-同舟云学术

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

Author:

Kia Mahsa Abazari¹^ORCID,Garifullina Aygul²,Kern Mathias²^ORCID,Chamberlain Jon¹,Jameel Shoaib³

Affiliation:

1. School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K.

2. BT, Adastral Park, Ipswich, U.K.

3. Department of Electronics and Computer Science, University of Southampton, Southampton, U.K.

Funder

Computer Science and Electronic Engineering Department, University of Essex

BT (formerly British Telecom) Group

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference54 articles.

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5. RoBERTa: A robustly optimized BERT pretraining approach;liu;arXiv 1907 11692,2019

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