AAAI-19 WORKSHOP ON AFFECTIVE CONTENT ANALYSIS & CL-AFF HAPPINESS SHARED TASK
AffCon 2019
- URL: https://sites.google.com/view/affcon2019/home
- Event Date: 2018-01-27 ~ 2018-02-01
- Abstract Submission Date: 2018-10-25
- Submission Date: 2018-11-05
- Location: Honolulu, United States of America
Affect analysis of content to measure emotions and its experiences is
a multidisciplinary research area with limited cross-disciplinary collaboration. Other disciplines have adopted psychological models of affect - Artificial Intelligence (AI), Computational Linguistics (CL) and Human-computer Interaction (HCI) - to conceptualize
and measure users’ opinions, intentions, and expressions. However, the context-specific characteristics of human affect suggest the need to measure in ways that recognize multiple interpretations of human responses.
Invited speakers:
Ellen Riloff (University of Utah), Alon Halevy (Megagon Labs), Marilyn Walker (University of California, Santa Cruz), Lyle Ungar (University of Pennsylvania)
CALL FOR SHARED TASK SUBMISSIONS: CL-AFF: IN PURSUIT OF HAPPINESS
We also invite submissions for the First Shared Task on Computational
Linguistics for Affect Understanding. CL-AFF 2019 comprises two sub-tasks for analyzing happiness and wellbeing in written language, based on a corpus of 100,000 descriptions of happy moments from HappyDB.
Workshop topics:
The theme of the 2nd Affective Content Analysis workshop is “Modeling Affect in Action.” We welcome submissions on topics including (but not limited to):
● Machine learning and Deep learning models for affect modeling in content (image, audio, and video)
● Affect-aware text generation
● Spoken and formal language comparison
● Measurement and evaluation of affective content
● Affective commonsense reasoning
● Affective human-agent, -computer, and-robot interaction
● Multimodal emotion recognition and sentiment analysis
● Psycho-demographic profiling
● Psycho-linguistics, including stylometrics and typography
● Modeling consumer’s affect reactions
● Computational models for consumer behavior theories
● Consumer psychology at scale from big data
Full CFP: https://sites.google.com/view/affcon2019/home
Proceedings of AffCon @ AAAI 2018: https://aaai.org/Library/Workshops/ws18-01.php
Submission Site: https://easychair.org/conferences/conference_dir.cgi?a=19604803
Important Dates:
October 25, 2018 :Abstract Submission (Optional)
November 5, 2018: Submission deadline
November 26, 2018 : Notification of acceptance/rejection
November 30, 2018: Early registration deadline
December 5, 2018: Camera-ready versions due
January 27-28, 2019 : Workshop at AAAI 2019
Co-chairs:
Niyati Chhaya (Adobe Research, nchhaya@adobe.com),
Kokil Jaidka (University of Pennsylvania, kokil.j@gmail.com ),
Lyle Ungar (University of Pennsylvania, ungar@cis.upenn.edu),
Atanu R Sinha (Adobe Research, atr@adobe.com)
Shared Task Data contributed by Megagon Labs
a multidisciplinary research area with limited cross-disciplinary collaboration. Other disciplines have adopted psychological models of affect - Artificial Intelligence (AI), Computational Linguistics (CL) and Human-computer Interaction (HCI) - to conceptualize
and measure users’ opinions, intentions, and expressions. However, the context-specific characteristics of human affect suggest the need to measure in ways that recognize multiple interpretations of human responses.
Invited speakers:
Ellen Riloff (University of Utah), Alon Halevy (Megagon Labs), Marilyn Walker (University of California, Santa Cruz), Lyle Ungar (University of Pennsylvania)
CALL FOR SHARED TASK SUBMISSIONS: CL-AFF: IN PURSUIT OF HAPPINESS
We also invite submissions for the First Shared Task on Computational
Linguistics for Affect Understanding. CL-AFF 2019 comprises two sub-tasks for analyzing happiness and wellbeing in written language, based on a corpus of 100,000 descriptions of happy moments from HappyDB.
Workshop topics:
The theme of the 2nd Affective Content Analysis workshop is “Modeling Affect in Action.” We welcome submissions on topics including (but not limited to):
● Machine learning and Deep learning models for affect modeling in content (image, audio, and video)
● Affect-aware text generation
● Spoken and formal language comparison
● Measurement and evaluation of affective content
● Affective commonsense reasoning
● Affective human-agent, -computer, and-robot interaction
● Multimodal emotion recognition and sentiment analysis
● Psycho-demographic profiling
● Psycho-linguistics, including stylometrics and typography
● Modeling consumer’s affect reactions
● Computational models for consumer behavior theories
● Consumer psychology at scale from big data
Full CFP: https://sites.google.com/view/affcon2019/home
Proceedings of AffCon @ AAAI 2018: https://aaai.org/Library/Workshops/ws18-01.php
Submission Site: https://easychair.org/conferences/conference_dir.cgi?a=19604803
Important Dates:
October 25, 2018 :Abstract Submission (Optional)
November 5, 2018: Submission deadline
November 26, 2018 : Notification of acceptance/rejection
November 30, 2018: Early registration deadline
December 5, 2018: Camera-ready versions due
January 27-28, 2019 : Workshop at AAAI 2019
Co-chairs:
Niyati Chhaya (Adobe Research, nchhaya@adobe.com),
Kokil Jaidka (University of Pennsylvania, kokil.j@gmail.com ),
Lyle Ungar (University of Pennsylvania, ungar@cis.upenn.edu),
Atanu R Sinha (Adobe Research, atr@adobe.com)
Shared Task Data contributed by Megagon Labs
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