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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 language | English |
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Title of host publication | Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies |
Place of Publication | New Orleans, Louisiana, USA |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 1770-1781 |
Number of pages | 12 |
Volume | 1 |
DOIs | |
Publication status | Published - 30 Jun 2018 |
Event | 16th 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 2018 → 6 Jun 2018 http://naacl2018.org/ |
Conference
Conference | 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies |
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Abbreviated title | NAACL HLT 2018 |
Country/Territory | United States |
City | New Orleans |
Period | 1/06/18 → 6/06/18 |
Internet address |
Keywords / Materials (for Non-textual outputs)
- Summarisation
- Neural Networks
- Natural Language Generation
- Natural Language Processing
- Information Extraction
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