Relation Extraction as Contextualized Sequence Classification
An example of relation extraction from wetlab protocols.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.
Type
Publication
Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)
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