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首页> 外文会议>2014 IEEE/ACM Joint Conference on Digital Libraries >Amplifying scientific paper's abstract by leveraging data-weighted reconstruction
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Amplifying scientific paper's abstract by leveraging data-weighted reconstruction

机译：通过利用数据加权重建来扩大科学论文的摘要

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摘要

This paper considers the problem of amplifying scientific paper's abstract by using its citation sentences. While scientific paper's abstract is concise and subjective, its citation sentences, which can be regarded as one kind of comment, are redundant and objective. A summary combining the merits of those two resource is helpful to researchers. A data-weighted reconstruction approach is proposed to generate this summary and sentence's weight is learned through a ranking algorithm over hypergraph of bibliographic network. The experimental results show that the proposed approach can achieve significantly better than several document summarization's techniques.
机译：本文考虑了通过引用论文来扩大科学论文摘要的问题。虽然科学论文的摘要是简洁而主观的，但其引文句子（可以视为一种评论）却是多余且客观的。总结这两种资源的优点的摘要对研究人员很有帮助。提出了一种数据加权的重构方法来生成该摘要，并通过书目网络的超图上的排序算法来学习句子的权重。实验结果表明，与几种文档摘要化技术相比，该方法可以取得明显更好的效果。

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