  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
\textsc{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.
