Vipul Singhal


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IITK at SemEval-2020 Task 10: Transformers for Emphasis Selection
Vipul Singhal | Sahil Dhull | Rishabh Agarwal | Ashutosh Modi
Proceedings of the Fourteenth Workshop on Semantic Evaluation

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 an evaluation score of 0.810 and were ranked third on the leaderboard.