Neural Summarization by Extracting Sentences and Words

ACL, 2016.

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Abstract:

Traditional approaches to extractive summarization rely heavily on humanengineered features. In this work we propose a data-driven approach based on neural networks and continuous sentence features. We develop a general framework for single-document summarization composed of a hierarchical document encoder and an attention-based extractor...More

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