Open AccessExploring Explainable Selection to Control Abstractive Summarization
Author(s) -
Haonan Wang,
Yang Gao,
Yu Bai,
Mirella Lapata,
Heyan Huang
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i15.17641
Subject(s) - computer science , automatic summarization , selection (genetic algorithm) , sentence , novelty , artificial intelligence , natural language processing , relevance (law) , transformer , benchmark (surveying) , control (management) , coreference , centrality , encoder , machine learning , information retrieval , philosophy , physics , theology , mathematics , geodesy , quantum mechanics , voltage , combinatorics , political science , resolution (logic) , law , geography , operating system
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