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Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
Understanding tables is an important and relevant task that involves understanding table structure as well as being able to compare and contrast information within cells. In this paper, we address this challenge by presenting a new dataset and tasks that addresses this goal in a shared task in SemEval 2020 Task 9: Fact Verification and Evidence Finding for Tabular Data in Scientific Documents (SEM-TAB-FACTS). Our dataset contains 981 manuallygenerated tables and an auto-generated dataset ofdoi:10.18653/v1/2021.semeval-1.39 fatcat:eltsdmnvzzc75a3ej6vam4sfpe