In this paper, researchers model movies as graphs to generate trailers, identifying narrative structure and predicting sentiment, surpassing supervised methods.
Authors: Pinelopi Papalampidi, Institute for Language, Cognition and Computation, School of Informatics, University of Edinburgh; Frank Keller, Institute for Language, Cognition and Computation, School of Informatics, University of Edinburgh; Mirella Lapata, Institute for Language, Cognition and Computation, School of Informatics, University of Edinburgh. Table of Links Abstract and Intro Related Work Problem Formulation Experimental Setup Results and Analysis Conclusions and References A.
Authors: Authors: Pinelopi Papalampidi, Institute for Language, Cognition and Computation, School of Informatics, University of Edinburgh; Frank Keller, Institute for Language, Cognition and Computation, School of Informatics, University of Edinburgh; Mirella Lapata, Institute for Language, Cognition and Computation, School of Informatics, University of Edinburgh.
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Film Trailer Generation via Task Decomposition: Abstract and IntroIn this paper, researchers model movies as graphs to generate trailers, identifying narrative structure and predicting sentiment, surpassing supervised methods.
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Film Trailer Generation via Task Decomposition: Related WorkIn this paper, researchers model movies as graphs to generate trailers, identifying narrative structure and predicting sentiment, surpassing supervised methods.
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Film Trailer Generation via Task Decomposition: Problem FormulationIn this paper, researchers model movies as graphs to generate trailers, identifying narrative structure and predicting sentiment, surpassing supervised methods.
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Film Trailer Generation via Task Decomposition: Results and AnalysisIn this paper, researchers model movies as graphs to generate trailers, identifying narrative structure and predicting sentiment, surpassing supervised methods.
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Film Trailer Generation via Task Decomposition: Conclusions and ReferencesIn this paper, researchers model movies as graphs to generate trailers, identifying narrative structure and predicting sentiment, surpassing supervised methods.
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Film Trailer Generation via Task Decomposition: Implementation DetailsIn this paper, researchers model movies as graphs to generate trailers, identifying narrative structure and predicting sentiment, surpassing supervised methods.
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