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This paper proposes a method of abstractive summarization designed to scale to document collections instead of individual documents.
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Pairwise Document Similarity Using an Incremental Approach to TF-IDF
J. Venkatesh · 2010
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B. Liu and L. Zhang · 2012
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N. Cao, Y.-R. Lin, X. Sun, D. Lazer, S. Liu, and Q. Huamin · 2012
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Norms of valence, arousal, and dominance for 13,915 English lemmas
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Abstractive summarization: An overivew of the state of the art
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H. Lin and V. Ng · 2019
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K. Song, X. Tan, T. Qin, U. Lu, and Liu. T. Y · 2019
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
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Conceptual framework for abstractive text summarization
N. Munot and S. S. Govilkar · 2015
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A hybrid approach to hierarchical density-based cluster selection
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Language models are few-shot learners
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A comprehensive survey of abstract text summarization based on deep learning
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BRIO: Bringing order to abstractive summarization
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