[Apologies for cross-posting]
We invite you to participate in the shared task on Empathy and Personality Detection in interactions, organized as part of WASSA 2024 <https://workshop-wassa.github.io/>at ACL 2024 <https://2024.aclweb.org/>. This task aims to develop models that can predict Empathy, Emotion, and Personality recognition in short text and at the speech-turn in a conversation. Task Description You can participate in five different tracks: - Track 1: Empathy Prediction in Conversations (CONV-dialog), which consists in predicting the perceived empathy at the dialog-level - Track 2: Empathy and Emotion Prediction in Conversations Turns (CONV-turn), which consists in predicting the perceived empathy, emotion polarity, and emotion intensity at the speech-turn-level in a conversation - Track 3: Empathy Prediction (EMP), which consists in predicting both the empathy concern and the personal distress at the essay-level - Track 4: Personality Prediction (PER), which consists in predicting the personality (openness, conscientiousness, extraversion, agreeableness, and emotional stability; OCEAN) of the essay writer, knowing all of their essays, dialogs, and the news article from which they reacted Note: You are free to participate in any or both tracks. For participation, please check: https://codalab.lisn.upsaclay.fr/competitions/18810 Important Dates - April 24, 2024: Codalab competition website goes online, and training/development data released - May 29, 2024: Evaluation phase begins: test data released - June 1, 2024: Evaluation phase ends: Deadline for final submission on Codalab - June 12, 2024: Deadline system description paper (max. 4p) - June 22, 2024: Notification of acceptance - July 1, 2024: Camera-ready papers due Task Organizers - Salvatore Giorgi - National Institute on Drug Abuse [C], USA - Valentin Barriere - Universidad de Chile , Chile - Joao Sedoc - New York University, USA - Shabnam Tafreshi - Evernorth Healthcare, USA Contact wassa24empathy [at] gmail [dot] com Join Google Group [email protected]
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