Benchmarking Semantic, Centroid, and Graph-Based Approaches for Multi-document Summarization

Anumeha Agrawal; Rosa Anil George; Selvan Sunitha Ravi; S. Sowmya Kamath

doi:10.1007/978-981-15-5679-1_24

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Benchmarking Semantic, Centroid, and Graph-Based Approaches for Multi-document Summarization

Anumeha Agrawal Rosa Anil George Selvan Sunitha Ravi S. Sowmya Kamath

Year: 2020 Advances in intelligent systems and computing Pages: 255-263 Publisher: Springer Nature

DOI: 10.1007/978-981-15-5679-1_24

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Keywords:

Automatic summarization Computer science Information retrieval Sentence Natural language processing Cluster analysis Graph Semantic similarity Centroid Benchmarking Artificial intelligence Syntax Theoretical computer science

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Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Semantic Web and Ontologies

Physical Sciences → Computer Science → Artificial Intelligence

Benchmarking Semantic, Centroid, and Graph-Based Approaches for Multi-document Summarization

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Citation History

Topics

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