2017
EMNLP
EMNLP 2017
Towards Automatic Construction of News Overview Articles by News Synthesis
Abstract
AbstractIn this paper we investigate a new task of automatically constructing an overview article from a given set of news articles about a news event. We propose a news synthesis approach to address this task based on passage segmentation, ranking, selection and merging. Our proposed approach is compared with several typical multi-document summarization methods on the Wikinews dataset, and achieves the best performance on both automatic evaluation and manual evaluation.
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Interdisciplinary Bridge
- Artificial Intelligence and Natural Language Processing
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Trend Setter
- Document Analysis
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Keyword Pioneer
- passage ranking
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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, Speech & Audio