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AffCon 2019 : AAAI-19 WORKSHOP ON AFFECTIVE CONTENT ANALYSIS & CL-AFF HAPPINESS SHARED TASK | |||||||||||||
Link: https://sites.google.com/view/affcon2019/home | |||||||||||||
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Call For Papers | |||||||||||||
DEADLINE EXTENDED TO NOVEMBER 12, 2018
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), Lyle Ungar (University of Pennsylvania), Pranav Anand (University of Santa Cruz) 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) DEADLINE EXTENDED: November 12, 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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