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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Leveraging Hybrid Citation Context for Impact Summarization
verfasst von : Po Hu, Yujing Guo, Donghong Ji, Jiacong He
Erschienen in: Advances in Knowledge Discovery and Data Mining
Verlag: Springer Berlin Heidelberg
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Impact summarization aims to highlight the influential aspects of a cited paper by selecting a few representative citation sentences into the summary. Most existing work considers only the citation sentence information while the hybrid citation context associated with each citation sentence has been ignored. This paper proposes a context-aware approach. In the approach, different kinds of relationships among papers and authors are leveraged to jointly infer the impact of hybrid citation context, which is further integrated in a sentence language smoothing model to measure citation sentence relationships more effectively. The experimental results show that the proposed approach can achieve significantly better results than several baselines.