Papers by Yalda Tehranian-Uhls

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Challenge:	Existing methods to identify portrayals of risk behaviors from audio-visual cues are limited in their applicability to films in post-production, where modifications might be prohibitively expensive.
Approach:	They propose a model that estimates content ratings based on the language use in movie scripts and leverages the co-occurrence of risk behaviors following a multi-task approach.
Outcome:	The proposed model improves state-of-the-art by adapting novel techniques to learn better movie representations from the semantic and sentiment aspects of a character’s language use and by leveraging the co-occurrence of risk behaviors, following a multi-task approach.