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.