Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
Recognizing expressions of commonsense psychology in English Text
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Using model trees for evaluating dialog error conditions based on acoustic information
Proceedings of the 1st ACM international workshop on Human-centered multimedia
Formal Concept Analysis: Foundations and Applications (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
The slashdot zoo: mining a social network with negative edges
Proceedings of the 18th international conference on World wide web
Perceptual Computing: Aiding People in Making Subjective Judgments
Perceptual Computing: Aiding People in Making Subjective Judgments
Emotion twenty questions: toward a crowd-sourced theory of emotions
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part II
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This is a précis of the author's dissertation proposal about natural language description of emotions. The proposal seeks to explain how humans describe emotions using natural language. The focus of the proposal is on words and phrases that refer to emotions, rather than the more general phenomena of emotional language. The main problem is that if descriptions of emotions refer to abstract concepts that are local to a particular human (or agent), then how do these concepts vary from person to person and how can shared meaning be established between people. The thesis of the proposal is that natural language emotion descriptions refer to theoretical objects, which provide a logical framework for dealing with this phenomenon in scientific experiments and engineering solutions. An experiment, Emotion Twenty Questions (EMO20Q), was devised to study the social natural language behavior of humans, who must use descriptions of emotions to play the familiar game of twenty questions when the unknown word is an emotion. The idea of a theory based on natural language propositions is developed and used to formalize the knowledge of a sign-using organism. Based on this pilot data, it was seen that approximately 25% of the emotion descriptions referred to emotions as objects with dimensional attributes. This motivated the author to use interval type-2 fuzzy sets as a computational model for the meaning of this dimensional subset of emotion descriptions. This model introduces a definition of a variable that ranges over emotions and allows for both inter- and intra- subject variability. A second set of experiments used interval surveys and translation tasks to assess this model. Finally, the use of spectral graph theory is proposed to represent emotional knowledge that has been acquired from the EMO20Q game.