IITK at SemEval-2020 Task 10: Transformers for Emphasis Selection
2020-07-21SEMEVALCode Available0· sign in to hype
Vipul Singhal, Sahil Dhull, Rishabh Agarwal, Ashutosh Modi
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- github.com/SahilDhull/emphasis_selectionOfficialIn paperpytorch★ 2
Abstract
This paper describes the system proposed for addressing the research problem posed in Task 10 of SemEval-2020: 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 Matchm score (described in section 2.2) of 0.810 and were ranked third on the leaderboard.