This post is a paper summary highlighting the main ideas of the paper “Structural Scaffolds for Citation Intent Classification in Scientific Publications” by Cohan et al. (2019) arXiv Github


Machine reading and automated analysis of scientific literature have increasingly become important due to information overload. Citations are typically used to measure the impact of scientific publications (Li and Ho, 2008)[1]. Citation Intent Classification is the task of identifying why an author cited another paper. The automatic identification of citation intent could also help users in doing research. …

Tornike Tsereteli

MSc. Computational Linguistics | NLP | Machine Learning

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