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

Jeniya Tabassum, Wei Xu, Alan Ritter


Abstract
This paper presents the results of the wet labinformation extraction task at WNUT 2020.This task consisted of two sub tasks- (1) anamed entity recognition task with 13 partic-ipants; and (2) a relation extraction task with2 participants. We outline the task, data an-notation process, corpus statistics, and providea high-level overview of the participating sys-tems for each sub task.
Anthology ID:
2020.wnut-1.33
Volume:
Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)
Month:
November
Year:
2020
Address:
Online
Venues:
EMNLP | WNUT
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
260–267
Language:
URL:
https://aclanthology.org/2020.wnut-1.33
DOI:
10.18653/v1/2020.wnut-1.33
Bibkey:
Cite (ACL):
Jeniya Tabassum, Wei Xu, and Alan Ritter. 2020. WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols. In Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020), pages 260–267, Online. Association for Computational Linguistics.
Cite (Informal):
WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols (Tabassum et al., WNUT 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.wnut-1.33.pdf
Code
 jeniyat/WNUT_2020_NER
Data
WNUT 2020