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2020 SEMEVAL SemEval 2020

Randomseed19 at SemEval-2020 Task 10: Emphasis Selection for Written Text in Visual Media

Abstract

AbstractThis paper describes our approach to emphasis selection for written text in visual media as a solution for SemEval 2020 Task 10. We used an ensemble of several different Transformer-based models and cast the task as a sequence labeling problem with two tags: ‘I’ as ‘emphasized’ and ‘O’ as ‘non-emphasized’ for each token in the text.

🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio

Authors

Aleksandr Shatilov , Denis Gordeev , Alexey Rey

Topics

Natural Language Processing > Applications > Text Classification

Keywords

sequence labeling text classification emphasis detection
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