2017
EMNLP
EMNLP 2017
Interactive Abstractive Summarization for Event News Tweets
Abstract
AbstractWe present a novel interactive summarization system that is based on abstractive summarization, derived from a recent consolidated knowledge representation for multiple texts. We incorporate a couple of interaction mechanisms, providing a bullet-style summary while allowing to attain the most important information first and interactively drill down to more specific details. A usability study of our implementation, for event news tweets, suggests the utility of our approach for text exploration.
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Interdisciplinary Bridge
— Deep Learning and Interdisciplinary and Natural Language Processing
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Keyword Pioneer
— news event
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Hot Topic Early Bird
— knowledge representation
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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