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 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.

PDF Abstract EMNLP (WNUT) 2020 PDF EMNLP (WNUT) 2020 Abstract


Introduced in the Paper:

WNUT 2020

Results from the Paper

Task Dataset Model Metric Name Metric Value Global Rank Result Benchmark
Relation Extraction WNUT 2020 Baseline Precision 80.1 # 1
Recall 66.21 # 1
F1 72.5 # 1
Named Entity Recognition (NER) WNUT 2020 Baseline Precision 70.06 # 1
Recall 61.91 # 1
F1 65.73 # 3


No methods listed for this paper. Add relevant methods here