Multimodal Abstractive Summarization using bidirectional encoder representations from transformers with attention mechanism

In recent decades, abstractive text summarization using multimodal input has attracted many researchers due to the capability of gathering information from various sources to create a concise summary. However, the existing methodologies based on multimodal summarization provide only a summary for th...

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Bibliographic Details
Published in:	Heliyon Vol. 10; no. 4; p. e26162
Main Authors:	Argade, Dakshata, Khairnar, Vaishali, Vora, Deepali, Patil, Shruti, Kotecha, Ketan, Alfarhood, Sultan
Format:	Journal Article
Language:	English
Published:	England Elsevier Ltd 29.02.2024 Elsevier
Subjects:	Attention mechanism Bidirectional encoder representations from transformer consumers (people) data collection Decoder Encoder languages Multimodal abstractive summarization Multimodalities neural networks reading Bidirectional encoder representations from transformer Attention mechanism Multimodalities Multimodal abstractive summarization Decoder Encoder
ISSN:	2405-8440, 2405-8440
Online Access:	Get full text
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