IITK@LCP at SemEval-2021 Task 1: Classification for Lexical Complexity Regression Task
Neil Rajiv Shirude, Sagnik Mukherjee, Tushar Shandhilya, Ananta Mukherjee, Ashutosh Modi · 2021
This paper describes our contribution to Se-mEval 2021 Task 1: Lexical Complexity Prediction.In our approach, we leverage the ELECTRA model and attempt to mirror the data annotation scheme.Although the task is a regression task, we show that we can treat it as an aggregation of several classification and regression models.This somewhat counterintuitive approach achieved an MAE score of 0.0654 for Sub-Task 1 and MAE of 0.0811 on Sub-Task 2. Additionally, we used the concept of weak supervision signals from Gloss-BERT in our work, and it significantly improved the MAE score in Sub-Task 1.