This work describes our approach for subtasks of SemEval-2021 Task 8: MeasEval: Counts and Measurements which took the official first place in the competition. To solve all subtasks we use multi-task learning in a question-answering-like manner. We also use learnable scalar weights to weight subtasks’ contribution to the final loss in multi-task training. We fine-tune LUKE to extract quantity spans and we fine-tune RoBERTa to extract everything related to found quantities, including quantities themselves.
CITATION STYLE
Davletov, A., Gordeev, D., Arefyev, N., & Davletov, E. (2021). LIORI at SemEval-2021 Task 8: Ask Transformer for measurements. In SemEval 2021 - 15th International Workshop on Semantic Evaluation, Proceedings of the Workshop (pp. 1249–1254). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2021.semeval-1.178
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