IITK at SemEval-2020 Task 10: Transformers for Emphasis Selection
Vipul Singhal, Sahil Dhull, Rishabh Agarwal, Ashutosh Modi · 2020
This paper describes the system proposed for addressing the research problem posed in Task 10 of SemEval-2020 1 : Emphasis Selection For Written Text in Visual Media.We propose an end-to-end model that takes as input the text and corresponding to each word gives the probability of the word to be emphasized.Our results show that transformer-based models are particularly effective in this task.We achieved the best Match m score (described in section 2.2) of 0.810 and were ranked third on the leader-board.