arXiv Machine Learning September 16, 2026 By Aamir Miyajiwala, Aabha Pingle, Sheetal Sonawane, Surajit Kr. Nath

Single Document Extractive Summarization using Domination in Hypergraph

Read the original on arXiv Machine Learning →

The paper proposes a new approach to single-document extractive summarization by constructing a sentence hypergraph where sentences are nodes and keywords or named entities are hyperedges. A greedy algorithm is then used to find a dominating set of this hypergraph, which yields the sentences that compose the summary. The study compares this hypergraph-based method with existing graph-based summarization techniques.

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