Identifying Important Citations Using Contextual Information from Full Text

Abstract

In this paper we address the problem of classifying cited work into important and non-important to the developments presented in a research publication. This task is vital for the algorithmic techniques that detect and follow emerging research topics and to qualitatively measure the impact of publications in increasingly growing scholarly big data. We… (More)
DOI: 10.1109/JCDL.2017.7991558

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