CHARET: Character-centered Approach to Emotion Tracking in Stories
Authors: 
Diogo S. Carvalho, Joana Campos, Manuel Guimarães, Ana Antunes, João Dias, Pedro A. SantosAuthors Info & Claims
Pages 1469 - 1471
Abstract
Autonomous agents that can engage in social interactions with a human is the ultimate goal of a myriad of applications. A key challenge in the design of these applications is to define the social behavior of the agent, which requires extensive content creation. In this research, we explore how we can leverage current state-of-the-art tools to make inferences about the emotional state of a character in a story as events unfold, in a coherent way. We propose a character role-labelling approach to emotion tracking that accounts for the semantics of emotions. We show that, by identifying actors and objects of events and considering the emotional state of the characters, we can achieve better performance in this task when compared to end-to-end approaches.
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Diogo S. Carvalho, Joana Campos, Manuel Guimarães, Ana Antunes, João Dias,and Pedro A. Santos. 2021. CHARET: Character-centered approach to emotion tracking in stories. arXiv preprint arXiv(2021).
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Index Terms
- CHARET: Character-centered Approach to Emotion Tracking in Stories
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Information
Published In
May 2021
1899 pages
ISBN:9781450383073
- General Chairs:
- Frank Dignum,
- Alessio Lomuscio,
- Program Chairs:
- Ulle Endriss,
- Ann Nowé
Sponsors
Publisher
International Foundation for Autonomous Agents and Multiagent Systems
Richland, SC
Publication History
Published: 03 May 2021
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Author Tags
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- Extended-abstract
Funding Sources
- INESC-ID
- University of Lisbon and Instituto Superior Tcnico
- Fundacao para a Ciencia e Tecnologia
Conference
AAMAS '21
Sponsor:
AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems
May 3 - 7, 2021
Virtual Event, United Kingdom
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Overall Acceptance Rate 1,155 of 5,036 submissions, 23%
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