论文标题

学术文章的提取摘要

Extractive Summarizer for Scholarly Articles

论文作者

Sefid, Athar, Giles, Clyde Lee, Mitra, Prasenjit

论文摘要

我们介绍了一种提取方法,该方法将总结长长的科学论文。我们的模型使用论文作者提供的演示幻灯片作为标记句子的黄金摘要标准。这些句子是根据深层神经网络估计的新颖性和重要性进行排名的。我们基于窗口的句子的提取标签导致至少4个rouge1 recall点改善。

We introduce an extractive method that will summarize long scientific papers. Our model uses presentation slides provided by the authors of the papers as the gold summary standard to label the sentences. The sentences are ranked based on their novelty and their importance as estimated by deep neural networks. Our window-based extractive labeling of sentences results in the improvement of at least 4 ROUGE1-Recall points.

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