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

Li Zhang

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationText, Speech and Dialogue - 15th International Conference, TSD 2012
EditorsPetr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala
Place of PublicationLondon
PublisherSpringer
Pages607-615
Number of pages700
Volume7499
ISBN (Print)9783642327902
DOIs
Publication statusPublished - 2012
EventTSD 2012 - 15th International Conference on Text, Speech and Dialogue - Brno, Czech Republic
Duration: 1 Jan 2012 → …

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
ISSN (Electronic)0302-9743

Conference

ConferenceTSD 2012 - 15th International Conference on Text, Speech and Dialogue
Period1/01/12 → …

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