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2017 SEMEVAL SemEval 2017

TTI-COIN at SemEval-2017 Task 10: Investigating Embeddings for End-to-End Relation Extraction from Scientific Papers

🌉 Interdisciplinary Bridge — Deep Learning and Machine Learning
🐝 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

Tomoki Tsujimura , Makoto Miwa , Yutaka Sasaki

Topics

Machine Learning > Core Methods > Classification Machine Learning > Core Methods > Representation Learning Deep Learning > Architectures > Neural Networks

Keywords

relation extraction named entity recognition end-to-end learning word embedding neural network
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