Papers by Peggy Tang

1 papers
OTExtSum: Extractive Text Summarisation with Optimal Transport (2022.findings-naacl)

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Challenge: Extractive text summarisation aims to select salient sentences from a document to form a short yet informative summary.
Approach: They propose to formulate extractive text summarisation as an Optimal Transport (OT) problem and use it to obtain an optimal summary that minimises the transportation cost to a given document.
Outcome: The proposed method outperforms state-of-the-art methods and learning-based methods on multiNews, PubMed, BillSum, and CNN/DM datasets.

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