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arXiv 2008.11290cs.CLcs.IRcs.LG
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学术论文摘要提取器

Extractive Summarizer for Scholarly Articles

Penn State University(宾夕法尼亚州立大学)

Athar Sefid, Clyde Lee Giles, Prasenjit Mitra

摘要:

我们介绍了一种提取方法,将总结长的科学论文。我们的模型使用论文作者提供的演示幻灯片作为黄金摘要标准来标记句子。根据深度神经网络估计的句子的新颖性和重要性对句子进行排名。我们的基于窗口的提取标记的句子的结果在至少4个ROUGE 1-召回点的改善。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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