This paper presents the results of the wet lab information extraction task at WNUT 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 2 participants. We outline the task, data annotation process, corpus statistics, and provide a high-level overview of the participating systems for each sub task.
Cite
@article{arxiv.2010.14576,
title = {WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols},
author = {Jeniya Tabassum and Sydney Lee and Wei Xu and Alan Ritter},
journal= {arXiv preprint arXiv:2010.14576},
year = {2020}
}