Relation and event extraction is an important task in natural language processing. We introduce a system which uses contextualized knowledge graph completion to classify relations and events between known entities in a noisy text environment. We report results which show that our system is able to effectively extract relations and events from a dataset of wet lab protocols.
@article{arxiv.2012.04538,
title = {Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification},
author = {Chris Miller and Soroush Vosoughi},
journal= {arXiv preprint arXiv:2012.04538},
year = {2020}
}
Comments
Proceedings of the 6th Workshop on Noisy User-generated Text (W-NUT) at EMNLP 2020