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

2018-06-01 · NAACL 2018 6 · Philip John Gorinski, Mirella Lapata

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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AttributeDecision MakingDecoder

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Sigmoid Activation 설명 없음
Tanh Activation 설명 없음
LSTM An LSTM is a type of recurrent neural network that addresses the vanishing gradient problem in vanilla…

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