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2018 SEMEVAL SemEval 2018

CSReader at SemEval-2018 Task 11: Multiple Choice Question Answering as Textual Entailment

🧭 Keyword Pioneer — multiple choice question answering
🐣 Hot Topic Early Bird — commonsense knowledge
🐝 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

Zhengping Jiang , Qi Sun

Topics

Natural Language Processing > Applications > Machine Reading Comprehension Natural Language Processing > Applications > Question Answering Natural Language Processing > Resources & Methods > Natural Language Inference

Keywords

commonsense knowledge machine reading comprehension deep learning textual entailment multiple choice question answering
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