@inproceedings{gorinski-lapata-2018-whats,
title = "What{'}s This Movie About? A Joint Neural Network Architecture for Movie Content Analysis",
author = "Gorinski, Philip John and
Lapata, Mirella",
editor = "Walker, Marilyn and
Ji, Heng and
Stent, Amanda",
booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/N18-1160",
doi = "10.18653/v1/N18-1160",
pages = "1770--1781",
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.",
}
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%0 Conference Proceedings
%T What’s This Movie About? A Joint Neural Network Architecture for Movie Content Analysis
%A Gorinski, Philip John
%A Lapata, Mirella
%Y Walker, Marilyn
%Y Ji, Heng
%Y Stent, Amanda
%S Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F gorinski-lapata-2018-whats
%X 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.
%R 10.18653/v1/N18-1160
%U https://aclanthology.org/N18-1160
%U https://doi.org/10.18653/v1/N18-1160
%P 1770-1781
Markdown (Informal)
[What’s This Movie About? A Joint Neural Network Architecture for Movie Content Analysis](https://aclanthology.org/N18-1160) (Gorinski & Lapata, NAACL 2018)
ACL