conftrace_
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