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• W2251670640 abstract "We propose a summarization approach for scientific articles which takes advantage of citation-context and the document discourse model. While citations have been previously used in generating scientific summaries, they lack the related context from the referenced article and therefore do not accurately reflect the article’s content. Our method overcomes the problem of inconsistency between the citation summary and the article’s content by providing context for each citation. We also leverage the inherent scientific article’s discourse for producing better summaries. We show that our proposed method effectively improves over existing summarization approaches (greater than 30% improvement over the best performing baseline) in terms of ROUGE scores on TAC2014 scientific summarization dataset. While the dataset we use for evaluation is in the biomedical domain, most of our approaches are general and therefore adaptable to other domains." @default.
• W2251670640 created "2016-06-24" @default.
• W2251670640 creator A5036610566 @default.
• W2251670640 creator A5064858748 @default.
• W2251670640 date "2015-01-01" @default.
• W2251670640 modified "2023-10-05" @default.
• W2251670640 title "Scientific Article Summarization Using Citation-Context and Article's Discourse Structure" @default.
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• W2251670640 doi "https://doi.org/10.18653/v1/d15-1045" @default.
• W2251670640 hasPublicationYear "2015" @default.
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