Integrating Topic-Aware Heterogeneous Graph Neural Network With Transformer Model for Medical Scientific Document Abstractive Summarization

The development of abstractive summarization methods is a crucial task in Natural Language Processing (NLP) that presents challenges, which require the creation of intelligent systems that are capable of extracting the main idea from text effectively and generate coherent summary. Numerous existing...

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Autors principals:	Ayesha Khaliq, Atif Khan, Salman Afsar Awan, Salman Jan, Muhammad Umair, Megat F. Zuhairi
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	BERT LDA GAT TF-IDF transformer medical documents
Accés en línia:	https://ieeexplore.ieee.org/document/10637403/
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