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Most general-purpose extractive summarization models are trained on news articles, which are short and present all important information upfront.
Sentence centrality revisited for unsupervised summarization
Hao Zheng and Mirella Lapata. 2019 · 1906
Earlier work this paper cites.
Morphology of the Folktale
Vladimir Iakovlevich Propp. 1968 · 1968
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Scripts, plans, and knowledge
Roger C. Schank and Robert P. Abelson. 1975 · 1975
Earlier work this paper cites.
An evaluation of story grammars
John B Black and Robert Wilensky. 1979 · 1979
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On evaluating story grammars
David E. Rumelhart. 1980 · 1980
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Plot units and narrative summarization
Wendy G. Lehnert. 1981 · 1981
Earlier work this paper cites.
Palm Sunday
Kurt Vonnegut. 1981 · 1981
Earlier work this paper cites.
Texttiling: Segmenting text into multi-paragraph subtopic passages
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Earlier work this paper cites.
Dictionary of the theatre: Terms, concepts, and analysis
Patrice Pavis. 1998 · 1998
Earlier work this paper cites.
Neural document summarization by jointly learning to score and select sentences
Qingyu Zhou, Nan Yang, Furu Wei, Shaohan Huang, Ming Zhou, and Tiejun Zhao. 2018 · 1998
Earlier work this paper cites.
Storytelling in the new Hollywood: Understanding classical narrative technique
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Earlier work this paper cites.
Textrank: Bringing order into text
Rada Mihalcea and Paul Tarau. 2004 · 2004
Earlier work this paper cites.
Screenplay: Foundations of Screenwriting
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Earlier work this paper cites.
Explorations in automatic book summarization
Rada Mihalcea and Hakan Ceylan. 2007 · 2007
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Automated summarization of narrative video on a semantic level
Tsvetomira Tsoneva, Mauro Barbieri, and Hans Weda. 2007 · 2007
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Writer’s Journey: Mythic Structure for Writers
Christopher Vogler. 2007 · 2007
Earlier work this paper cites.
The New York Times Annotated Corpus
Evan Sandhaus. 2008 · 2008
Earlier work this paper cites.
Unsupervised learning of narrative schemas and their participants
Nathanael Chambers and Dan Jurafsky. 2009 · 2009
Earlier work this paper cites.
Advancing computational models of narrative
Whitman Richards, Mark Alan Finlayson, and Patrick Henry Winston. 2009 · 2009
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Extracting social networks from literary fiction
David K. Elson, Nicholas Dames, and Kathleen R. Mckeown. 2010 · 2010
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Automatically producing plot unit representations for narrative text
Amit Goyal, Ellen Riloff, and Hal Daumé III. 2010 · 2010
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Summarizing short stories
Anna Kazantseva and Stan Szpakowicz. 2010 · 2010
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Plot induction and evolutionary search for story generation
Neil McIntyre and Mirella Lapata. 2010 · 2010
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A survey on transfer learning
Sinno Jialin Pan and Qiang Yang. 2010 · 2010
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Neural summarization by extracting sentences and words
Jianpeng Cheng and Mirella Lapata. 2016 · 2016
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Narrative theory and the dynamics of popular movies
James E Cutting. 2016 · 2016
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Abstractive text summarization using sequence-to-sequence rnns and beyond
Ramesh Nallapati, Bowen Zhou, Caglar Gulcehre, Bing Xiang, et al. 2016 · 2016
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The emotional arcs of stories are dominated by six basic shapes
Andrew J. Reagan, Lewis Mitchell, Dilan Kiley, Christopher M. Danforth, and Peter Sheridan Dodds. 2016 · 2016
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Inferring interpersonal relations in narrative summaries
Shashank Srivastava, Snigdha Chaturvedi, and Tom Mitchell. 2016 · 2016
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Hierarchical transformers for multi-document summarization
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Movie plot analysis via turning point identification
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