Automatic Essay Grading
- Category: Natural Language Processing
- Mentor: Prof. Pushpak Bhattacharyya
- Designation: Dept. of CSE, IIT Bombay
- Period: May 2019-20
- Project URL: https://github.com/ASAP-AEG/MTL-Essay-Traits-Scoring.git
About
In this project, we describe a way to score essays holistically using a multi-task learning (MTL) approach, where scoring the essay holistically is the primary task, and scoring the essay traits is the auxiliary task. We compare our results with a single-task learning (STL) approach, using both LSTMs and BiLSTMs. We also compare our results of the auxiliary task with such tasks done in other AEG systems. We also report the runtime and number of training parameters for each system. We find that MTL-based BiLSTM system gives the best results for scoring the essay holistically, as well as performing well on scoring the essay traits.