Metaphor interpretation and context-based affect detection

Zhang, Li (2010) Metaphor interpretation and context-based affect detection. In: COLING 2010: The 23rd International Conference on Computational Linguistics, 23-27 August 2010, Beijing, China.

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Metaphorical and contextual affect detection from open-ended text-based dialogue is challenging but essential for the building of effective intelligent user interfaces. In this paper, we report updated developments of an affect detection model from text, including affect detection from one particular type of metaphorical affective expression and affect detection based on context. The overall affect detection model has been embedded in an intelligent conversational AI agent interacting with human users under loose scenarios. Evaluation for the updated affect detection component is also provided. Our work contributes to the conference themes on sentiment analysis and opinion mining and the development of dialogue and conversational agents.

Item Type: Conference or Workshop Item (Paper)
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Sarah Howells
Date Deposited: 17 Sep 2012 15:26
Last Modified: 13 Oct 2019 00:30

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