What’s This Movie About? A Joint Neural Network Architecture for Movie Content Analysis

Philip John Gorinski, Maria Lapata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This work takes a first step toward movie content analysis by tackling the novel task of movie overview generation. Overviews are natural language texts that give a first impression of a movie, describing aspects such as its genre, plot, mood, or artistic style. We create a dataset that consists of movie scripts, attribute-value pairs for the movies' aspects, as well as overviews, which we extract from an online database. We present a novel end-to-end model for overview generation, consisting of a multi-label encoder for identifying screenplay attributes, and an LSTM decoder to generate natural language sentences conditioned on the identified attributes. Automatic and human evaluation show that the encoder is able to reliably assign good labels for the movie's attributes, and the overviews provide descriptions of the movie's content which are informative and faithful.
Original languageEnglish
Title of host publicationProceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Place of PublicationNew Orleans, Louisiana, USA
PublisherAssociation for Computational Linguistics (ACL)
Pages1770-1781
Number of pages12
Volume1
DOIs
Publication statusPublished - 30 Jun 2018
Event16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Hyatt Regency New Orleans Hotel, New Orleans, United States
Duration: 1 Jun 20186 Jun 2018
http://naacl2018.org/

Conference

Conference16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Abbreviated titleNAACL HLT 2018
Country/TerritoryUnited States
CityNew Orleans
Period1/06/186/06/18
Internet address

Keywords / Materials (for Non-textual outputs)

  • Summarisation
  • Neural Networks
  • Natural Language Generation
  • Natural Language Processing
  • Information Extraction

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