HierMDS: a hierarchical multi-document summarization model with global–local document dependencies

Shuaimin Li; Jungang Xu

doi:10.1007/s00521-023-08680-0

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HierMDS: a hierarchical multi-document summarization model with global–local document dependencies

Shuaimin Li Jungang Xu

Year: 2023 Journal: Neural Computing and Applications Vol: 35 (25)Pages: 18553-18570 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-023-08680-0

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Keywords:

Automatic summarization Computer science Dependency (UML) Encoding (memory) Block (permutation group theory) Document clustering Embedding Information retrieval Dependency graph Graph Theoretical computer science Artificial intelligence Mathematics Cluster analysis

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Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

HierMDS: a hierarchical multi-document summarization model with global–local document dependencies

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