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Stylistic Variation in Television Dialogue for Natural Language Generation
Conversation is a critical component of storytelling, where key information is often revealed by what/how a character says it.
An Annotated Corpus of Film Dialogue for Learning and Characterizing Character Style
We briefly show how film characters can be represented by models learned from the corpus, how the models can be distinguished based on different categories such as gender and film genre, and how they can be applied to a language generator to generate utterances that can be perceived as being similar to the intended character model.
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