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Citation texts are sometimes not very informative or in some cases inaccurateby themselves; they need the appropriate context from the referenced paper toreflect its exact contributions. To address this problem, we propose anunsupervised model that uses distributed representation of words as well asdomain knowledge to extract the appropriate context from the reference paper.Evaluation results show the effectiveness of our model by significantlyoutperforming the state-of-the-art. We furthermore demonstrate how an effectivecontextualization method results in improving citation-based summarization ofthe scientific articles.

Contextualizing Citations for Scientific Summarization using Word Embeddings and Domain Knowledge