Student Essay Text Part Classification

Background

This repo was developed to tackle this Kaggle competition which takes essays written by students (Grade 6-12) and attempts to classify the parts of the essay (i.e. Lead, Position, Evidence, Claim)

It uses a MLM approach, taking the huggingface extension of BigBird and applying that to the essays.

Running an experiment

1. Clone the repository
2. Create a virtual environment and install the project requirements

pip install -r requirements.txt

3. Load up the student_writing_part_detection.ipynb notebook and test things out!