CLPsych 2022 Shared Task Structure

• Organize the files (Next 2 weeks)
• Task : Predict the moments of change in the posts made by the user. Following are some functions needed to create baseline models
  • data_reader.py : Show take as input certain path to a training dataset containing all the timelines
  • evaluator.py : Make custom functions for Precision, Recall, F1-Score, and other relevant metrics
  • utils.py : store the results inside utils.
  • model_building.py : Deep language models specific for the task. Numpy and Torch are acceptable
• Each data point would be an array of:
  • Timeline ID
  • Post ID
  • User ID
  • Date
  • Label : ['IS', 'IE', 'O']
  • text : Post made a user at particular instance of time.
• While assessing the baseline models, we are specifically interested in 'IS' and 'IE' labels.