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Movie Script Summarization as Graph-based Scene Extraction
Philip John Gorinski
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Mirella Lapata
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Paper Details:
Month: May–June
Year: 2015
Location: Denver, Colorado
Venue:
NAACL |
Citations
URL
Folksonomication: Predicting Tags for Movies from Plot Synopses using Emotion Flow Encoded Neural Network
Sudipta Kar
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Suraj Maharjan
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Thamar Solorio
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Topical Coherence for Graph-based Extractive Summarization
Daraksha Parveen
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Hans-Martin Ramsl
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Michael Strube
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Generating Coherent Summaries of Scientific Articles Using Coherence Patterns
Daraksha Parveen
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Mohsen Mesgar
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Michael Strube
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A Theme-Rewriting Approach for Generating Algebra Word Problems
Rik Koncel-Kedziorski
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Ioannis Konstas
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Luke Zettlemoyer
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Hannaneh Hajishirzi
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Zero-Shot Activity Recognition with Verb Attribute Induction
Rowan Zellers
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Yejin Choi
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Connotation Frames of Power and Agency in Modern Films
Maarten Sap
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Marcella Cindy Prasettio
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Ari Holtzman
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Hannah Rashkin
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Yejin Choi
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MPST: A Corpus of Movie Plot Synopses with Tags
Sudipta Kar
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Suraj Maharjan
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A. Pastor López-Monroy
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Thamar Solorio
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What’s This Movie About? A Joint Neural Network Architecture for Movie Content Analysis
Philip John Gorinski
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Mirella Lapata
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The NarrativeQA Reading Comprehension Challenge
Tomáš Kočiský
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Jonathan Schwarz
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Phil Blunsom
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Chris Dyer
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Karl Moritz Hermann
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Gábor Melis
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Edward Grefenstette
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Telling Stories with Soundtracks: An Empirical Analysis of Music in Film
Jon Gillick
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David Bamman
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http://en.wikipedia.org
http://www.imdb.com/
https://www.gnu.org/software/glpk/
https://www.mturk.com/
Field Of Study
Linguistic Trends
Discourse
Task
Sentiment Analysis
Coreference Resolution
Summarization
Language
Multilingual
English
Dataset
Literary Text
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