Abstract
We present EmotionML, a new W3C recommendation to represent emotion related states in data processing systems, by first introducing the language and then discussing a series of concrete implementations that utilize EmotionML.
- Title
- Application of EmotionML
- Author/Creator
- Felix Burkhardt - Deutsch Telekom Labs, Berlin, GermanyChristian Becker-Asano - University of FreiburgEdmon Begoli - University of Tennessee at KnoxvilleRoddy Cowie - Queens UniversityGerhard Fobe - Tech Univ Chemnitz, Chemnitz, GermanyPatrick Gebhard - DFKI, Saarbrucken, GermanyAbe Kazemzadeh - Univ So Calif, Los Angeles, CA 90089 USAIngmar Steiner - DFKI, Saarbrucken, GermanyTim Llewellyn - NViso, Lausanne, Switzerland
- Contributors
- N CalzolariK ChoukriT DeclerckH LoftssonB MaegaardJ MarianiA MorenoJ OdijkS Piperidis
- Publication Details
- LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
- Publisher
- European Language Resources Assoc-Elra
- Number of pages
- 5
- Academic Unit
- Software Engineering and Data Science
- Language
- English
- Resource Type
- Conference proceeding
- Record Identifier
- 991015166154003691