TAILIEUCHUNG - Báo cáo khoa học: "A Lexicon for Exploring Color, Concept and Emotion Associations in Language"

Existing concept-color-emotion lexicons limit themselves to small sets of basic emotions and colors, which cannot capture the rich pallet of color terms that humans use in communication. In this paper we begin to address this problem by building a novel, color-emotion-concept association lexicon via crowdsourcing. This lexicon, which we call C LEX, has over 2,300 color terms, over 3,000 affect terms and almost 2,000 concepts. We investigate the relation between color and concept, and color and emotion, reinforcing results from previous studies, as well as discovering new associations. . | CLex A Lexicon for Exploring Color Concept and Emotion Associations in Language Svitlana Volkova Johns Hopkins University 3400 North Charles Baltimore MD 21218 USA svitlana@ William B. Dolan Microsoft Research One Microsoft Way Redmond WA 98052 USA billdol@ Theresa Wilson HLTCOE 810 Wyman Park Drive Baltimore MD 21211 USA taw@ Abstract Existing concept-color-emotion lexicons limit themselves to small sets of basic emotions and colors which cannot capture the rich pallet of color terms that humans use in communication. In this paper we begin to address this problem by building a novel color-emotion-concept association lexicon via crowdsourcing. This lexicon which we call Clex has over 2 300 color terms over 3 000 affect terms and almost 2 000 concepts. We investigate the relation between color and concept and color and emotion reinforcing results from previous studies as well as discovering new associations. We also investigate cross-cultural differences in color-emotion associations between US and India-based annotators. 1 Introduction People typically use color terms to describe the visual characteristics of objects and certain colors often have strong associations with particular objects . blue - sky white - snow. However people also take advantage of color terms to strengthen their messages and convey emotions in natural interactions Jacobson and Bender 1996 Hardin and Maffi 1997 . Colors are both indicative of and have an effect on our feelings and emotions. Some colors are associated with positive emotions . joy trust and admiration and some with negative emotions . aggressiveness fear boredom and sadness Ortony et al. 1988 . Given the importance of color and visual descriptions in conveying emotion obtaining a deeper understanding of the associations between colors concepts and emotions may be helpful for many tasks in language understanding and generation. A detailed set of color-concept-emotion associations . brown - .

• Báo cáo khoa học
• A Lexicon for Exploring Color
• Concept
• Emotion Associations in Language
• scientific reports
• model language
• process natural language
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
• Workshops
• NATURAL LANGUAGE
• INTERACTION WITH MACHINES
• Long Papers
• COMPUTER INTEBFACE DESIGN MURRAY TUROFF DEPARTMENT OF COMPUTER
• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
• EVALUATION OF NATURAL LANGUAGE
• INTERFACES TO DATABASE SYSTEMS
• A PANEL DISCUSSION
• database query system
• J
• Norwood Crout
• INTERFACES TO DATA BASE SYSTEMS
• Bozena Henisz
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• TRANSPORTABLE NATURAL LANGUAGE
• INTERFACES TO DATABASES
• Gary G
• Hendrlx and William H
• Lewis
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
• Database Access Systems
• ISSUES IN NATURAL LANGUAGE
• ACCESS TO DATABASES
• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
• THE TEXT SYSTEM
• NATURAL LANGUAGE GENERATION
• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
• E
• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
• NATURAL LANGUAGE UNDERSTANDING
• Stuart C
• Shapiro
• NATURAL LANGUAGE TEXTS
• NECESSARILY GRAMMATICAL
• EVEN COMPLETE
• UNGRAMHATICALITY
• EXTRA GRAMMATICALITY
• NATURAL LANGUAGE UNDERSTANDING SYSTEMS
• Taxonomy
• Descriptions
• Individuals in Natural
• Language Understanding
• The Use of Ooject Special Knowledge
• Natural Language Processing
• Mark H
• Bursteln