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2020 EMNLP EMNLP 2020

Relation Extraction with Contextualized Relation Embedding (CRE)

Abstract

AbstractThis submission is a paper that proposes an architecture for the relation extraction task which integrates semantic information with knowledge base modeling in a novel manner.

🌉 Interdisciplinary Bridge — Deep Learning and Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — contextualized relation embedding
🐝 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

Authors

Xiaoyu Chen , rohan badlani

Topics

Machine Learning > Core Methods > Embedding Learning Natural Language Processing > Applications > Information Extraction Deep Learning > Learning Types > Representation Learning

Keywords

relation extraction knowledge base semantic information semantic embedding contextualized embedding knowledge base embedding contextualized relation embedding
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