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2017 SEMEVAL SemEval 2017

The AI2 system at SemEval-2017 Task 10 (ScienceIE): semi-supervised end-to-end entity and relation extraction

🌉 Interdisciplinary Bridge — Machine Learning and Natural Language Processing
🐣 Hot Topic Early Bird — entity extraction
🐝 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

Waleed Ammar , Matthew E. Peters , Chandra Bhagavatula , Russell Power

Topics

Machine Learning > Learning Types > Semi-Supervised Learning Natural Language Processing > Applications > Information Extraction Machine Learning > Learning Paradigms > Semi-Supervised Learning

Keywords

semi-supervised learning relation extraction knowledge base end-to-end learning entity extraction neural language model
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