Exploring Explainable Selection to Control Abstractive Summarization

1 code implementation • 24 Apr 2020 • Wang Haonan, Gao Yang, Bai Yu, Mirella Lapata, Huang Heyan

A novel pair-wise matrix captures the sentence interactions, centrality, and attribute scores, and a mask with tunable attribute thresholds allows the user to control which sentences are likely to be included in the extraction.

Abstractive Text Summarization Attribute +2