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This paper presents the results of the wet lab information extraction task atWNUT 2020. This task consisted of two sub tasks: (1) a Named Entity Recognition(NER) task with 13 participants and (2) a Relation Extraction (RE) task with 2participants. We outline the task, data annotation process, corpus statistics,and provide a high-level overview of the participating systems for each subtask.

WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols