2020
EMNLP
EMNLP 2020
Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification
Abstract
AbstractRelation 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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Interdisciplinary Bridge
— Deep Learning and Knowledge & Reasoning and Machine Learning and Natural Language Processing
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Hot Topic Early Bird
— event extraction
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio