The data is available at our Git repository: https://github.com/kj2013/claff-happydb/
Submission Site: <https://easychair.org/conferences/conference_dir.cgi?a=19604803> https://easychair.org/conferences/conference_dir.cgi?a=19604803
Everyone who participates, gets to present at least a poster and have their paper in our CEUR-WS proceedings.
Full CFP for AAAI AFFCON 2019: WORKSHOP ON AFFECTIVE CONTENT ANALYSIS: https://sites.google.com/view/affcon2019/home
Invited speakers: Ellen Riloff (University of Utah), Alon Halevy (Megagon Labs), Lyle Ungar (University of Pennsylvania)
GIVEN: An account of a happy moment, marked with individual's demographics, recollection time and relevant labels.
TASK 1: WHAT ARE THE INGREDIENTS FOR HAPPINESS ?
Semi-supervised learning task: Predict agency and social labels for happy moments in the test set, based on a small labeled and large unlabeled training data.
TASK 2: HOW CAN WE MODEL HAPPINESS ?
Unsupervised task: Propose new characterizations and insights (not necessarily and not limited to themes) for happy moments in the test set, e.g., in terms of affect, emotion, participants and content.
Aug 25, 2018 - Training set released
October 15, 2018 - Abstract submission with a short system description*
October 30, 2018 - Test set released
November 30, 2018 - System runs due & AAAI conference early registration deadline
December 5, 2018 - System reports (full papers) due and peer review process begins
TBD - Camera-ready contributions
*(prefix your submission title with "[CL-Aff Shared Task]")
>>>Shared Task HappyDB data and labels contributed by Megagon Labs<<<
-------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 11376 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20181006/4082c7a7/attachment.txt>