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

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

cs.CL Topic Modeling Natural Language Processing Techniques Biomedical Text Mining and Ontologies

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