Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach

Abstract Nowadays, due to the constantly growing amount of textual information, automatic text summarization constitutes an important research area in natural language processing. In this work, we present a novel framework that combines semantic graph representations along with deep learning predict...

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Hlavní autoři:	Panagiotis Kouris, Georgios Alexandridis, Andreas Stafylopatis
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	SpringerOpen 2024-07-01
Edice:	Journal of Big Data
Témata:	Abstractive text summarization Semantic graph AMR graph summarization Graph-to-text Deep learning Factual consistency
On-line přístup:	https://doi.org/10.1186/s40537-024-00950-5
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