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2017 SEMEVAL SemEval 2017

SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours

🌉 Interdisciplinary Bridge — Machine Learning and Natural Language Processing
📈 Trend Setter — Fact-Checking
🧭 Keyword Pioneer — rumour detection
🐣 Hot Topic Early Bird — semantic understanding
🐝 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

Leon Derczynski , Kalina Bontcheva , Maria Liakata , Rob Procter , Geraldine Wong Sak Hoi , Arkaitz Zubiaga

Topics

Machine Learning > Core Methods > Classification Machine Learning > Learning Types > Weakly Supervised Learning Natural Language Processing > Applications > Fact-Checking Natural Language Processing > Applications > Text Classification

Keywords

natural language processing text classification stance detection rumor detection semantic understanding stance classification rumour detection veracity detection
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