DeepExtract: Semantic-driven extractive text summarization framework using LLMs and hierarchical positional encoding

Aytuğ Onan; Hesham Alhumyani

doi:10.1016/j.jksuci.2024.102178

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DeepExtract: Semantic-driven extractive text summarization framework using LLMs and hierarchical positional encoding

Aytuğ Onan Hesham Alhumyani

Year: 2024 Journal: Journal of King Saud University - Computer and Information Sciences Vol: 36 (8)Pages: 102178-102178 Publisher: Elsevier BV

DOI: 10.1016/j.jksuci.2024.102178

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Keywords:

Automatic summarization Computer science Information retrieval Information overload Relevance (law) Cluster analysis Thematic map Adaptability Encoding (memory) Natural language processing Data science Artificial intelligence World Wide Web

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Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Text Analysis Techniques

Physical Sciences → Computer Science → Artificial Intelligence

DeepExtract: Semantic-driven extractive text summarization framework using LLMs and hierarchical positional encoding

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