We invite you to participate in the shared task on Empathy Emotion and Personality Detection in Interactions, organized as part of WASSA 2023 at ACL 2023. This task aims to develop models that can predict Empathy, Emotion, Personnality recognition in short text and at the speech-turn in a conversation.
**Task Description**
We have a new task this year, with conversational data!
You can participate in five different tracks:
Track 1: Empathy and Emotion Prediction in Conversations (CONV), which consists in predicting the perceived empathy, emotion polarity and emotion intensity at the speech-turn-level in a conversation Track 2: Empathy Prediction (EMP), which consists in predicting both the empathic concern and the personal distress at the essay-level Track 3: Emotion Classification (EMO), which consists in predicting the emotion at the essay-level, in a multi-label way Track 4: Personality Prediction (PER), which consists in predicting the personality (Big Five) of the essay writer, knowing all his/her essays and the news article from which they reacted Track 5: Interpersonal Reactivity Index Prediction (IRI), which consists in predicting the IRI of the essay writer, knowing all his/her essays 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/11167
**Important Dates**
February 28th, 2023: Initial training data release February 28th, 2023: Codalab competition website goes online, and development data released April 15th, 2023: Evaluation phase begins: development labels test data released April 18th, 2023: Deadline submission of final result on Codalab April 24th, 2023: Deadline system description paper (max. 4p) May 22nd, 2023: Notification of acceptance June 6th, 2023: Camera-ready papers due
**Task Organizers**
Valentin Barriere - Centro Nacional de Inteligencia Artificial , Chile Salvatore Giorgi - University of Pennsylvania, USA Joao Sedoc - New York University, USA Shabnam Tafreshi - ARLIS, Univeristy of Maryland, USA
**Contact**
wassa23empathy [at] gmail [dot] com
**Join Google Group**
wassa23empathy@googlegroups.com