Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification

• URL: http://arxiv.org/abs/2012.04538v1
• Date: Mon, 7 Dec 2020 06:38:53 GMT
• Title: Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification
• Authors: Chris Miller and Soroush Vosoughi
• Abstract summary: 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.
• Score: 2.1574781022415364
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: 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.

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