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CiteQA@CLSciSumm 2020

2020-11-01EMNLP (sdp) 2020Unverified0· sign in to hype

Anjana Umapathy, Karthik Radhakrishnan, Kinjal Jain, Rahul Singh

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Abstract

In academic publications, citations are used to build context for a concept by highlighting relevant aspects from reference papers. Automatically identifying referenced snippets can help researchers swiftly isolate principal contributions of scientific works. In this paper, we exploit the underlying structure of scientific articles to predict reference paper spans and facets corresponding to a citation. We propose two methods to detect citation spans - keyphrase overlap, BERT along with structural priors. We fine-tune FastText embeddings and leverage textual, positional features to predict citation facets.

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