On solving textual ambiguities and semantic vagueness in MRC based question answering using generative pre-trained transformers

On solving textual ambiguities and semantic vagueness in MRC based question answering using generative pre-trained transformers

Machine reading comprehension (MRC) is one of the most challenging tasks and active fields in natural language processing (NLP). MRC systems aim to enable a machine to understand a given context in natural language and to answer a series of questions about it. With the advent of bi-directional deep...

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Bibliographic Details
Main Authors: Muzamil Ahmed, Hikmat Khan, Tassawar Iqbal, Fawaz Khaled Alarfaj, Abdullah Alomair, Naif Almusallam
Format: Article
Language:English
Published: PeerJ Inc. 2023-07-01
Series:PeerJ Computer Science
Subjects:
Machine reading comprehension
Natural language understanding
Generative pretrained transformers
Question answering
Textual ambiguities
Online Access:https://peerj.com/articles/cs-1422.pdf

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