Abe Kazemzadeh. Toward a Computational Approach for Natural Language Description of Emotions. In Proceedings of Affective Computing and Intelligent Interaction (ACII), pp. 216–223, Lecture Notes in Computer Science, Springer, October 2011.
This is a précis of the author’s dissertation proposal aboutnatural language description of emotions. The proposal seeks to explainhow humans describe emotions using natural language. The focus of theproposal is on words and phrases that refer to emotions, rather than themore general phenomena of emotional language. The main problem isthat if descriptions of emotions refer to abstract concepts that are localto a particular human (or agent), then how do these concepts vary fromperson to person and how can shared meaning be established betweenpeople. The thesis of the proposal is that natural language emotion descriptionsrefer to theoretical objects, which provide a logical frameworkfor dealing with this phenomenon in scientific experiments and engineeringsolutions. An experiment, Emotion Twenty Questions (EMO20Q), was devised to study the social natural language behavior of humans, whomust use descriptions of emotions to play the familiar game of twentyquestions when the unknown word is an emotion. The idea of a theorybased on natural language propositions is developed and used to formalizethe knowledge of a sign-using organism. Based on this pilot data, itwas seen that approximately 25% of the emotion descriptions referredto emotions as objects with dimensional attributes. This motivated theauthor to use interval type-2 fuzzy sets as a computational model forthe meaning of this dimensional subset of emotion descriptions. Thismodel introduces a definition of a variable that ranges over emotionsand allows for both inter- and intra- subject variability. A second setof experiments used interval surveys and translation tasks to assess thismodel. Finally, the use of spectral graph theory is proposed to representemotional knowledge that has been acquired from the EMO20Q game.
@inproceedings{Kazemzadeh2011TowardaComputationalApproach,
abstract = {This is a pr{\'{e}}cis 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.},
author = {Kazemzadeh, Abe},
bib2html_rescat = {emotion},
booktitle = {Proceedings of Affective Computing and Intelligent Interaction (ACII)},
doi = {10.1007/978-3-642-24571-8_23},
link = {http://sail.usc.edu/publications/files/69750216.pdf},
location = {Memphis, TN},
month = {October},
pages = {216-223},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {Toward a Computational Approach for Natural Language Description of Emotions},
year = {2011}
}
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