Exploration of metaphor and affect sensing using semantic interpretation in an intelligent agent

Zhang, Li (2012) Exploration of metaphor and affect sensing using semantic interpretation in an intelligent agent. In: Text, Speech and Dialogue - 15th International Conference, TSD 2012. Lecture Notes in Computer Science, 7499 (7499). Springer, London, pp. 607-615. ISBN 9783642327902

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Official URL: http://dx.doi.org/10.1007/978-3-642-32790-2_74


We developed a virtual drama improvisation platform to allow human users to be creative in their role-play with the interaction of an AI agent. Previously, the AI agent was able to detect affect from users' inputs with strong affect indicators. In this paper, we integrate context-based affect detection to enable the intelligent agent to detect affect from inputs with weak or no affect signals. Topic theme detection using latent semantic analysis is applied to such inputs to identify their discussions themes and potential target audiences. Relationships between characters are also taken into account for affect analysis. Such semantic interpretation of the dialogue contexts also proofs to be effective in the recognition of metaphorical phenomena.

Item Type: Book Section
Uncontrolled Keywords: Affect detection; interaction contexts; metaphor; semantic interpretation
Subjects: G400 Computer Science
Q100 Linguistics
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Depositing User: Becky Skoyles
Date Deposited: 21 Jan 2015 11:39
Last Modified: 10 Nov 2016 12:40
URI: http://nrl.northumbria.ac.uk/id/eprint/20688

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