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

Published 7 Dec 2020 in cs.CL | (2012.04538v1)

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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