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Document and discourse segmentation are two fundamental NLP tasks pertaining to breaking up text into constituents, which are commonly used to help downstream tasks such as information retrieval or text summarization.
Rhetorical structure theory: Toward a functional theory of text organization
William C Mann and Sandra A Thompson. 1988 · 1988
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Mitchell Marcus, Grace Kim, Mary Ann Marcinkiewicz, Robert MacIntyre, Ann Bies, Mark Ferguson, Karen Katz, and Britta Schasberger. 1994 · 1994
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Marti Hearst. 1997 · 1997
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Statistical models for text segmentation
Doug Beeferman, Adam Berger, and John Lafferty. 1999 · 1999
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Advances in domain independent linear text segmentation
Freddy Y. Y. Choi. 2000 · 2000
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Building a discourse-tagged corpus in the framework of rhetorical structure theory
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Text segmentation as a supervised learning task
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Ilias Chalkidis, Ion Androutsopoulos, and Nikolaos Aletras. 2019 · 2019
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Discourse analysis and its applications
Shafiq Joty, Giuseppe Carenini, Raymond Ng, and Gabriel Murray. 2019 · 2019
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BeamSeg: A joint model for multi-document segmentation and topic identification
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Semantic label smoothing for sequence to sequence problems
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