Yifan Chen
2020
A Corpus of Very Short Scientific Summaries
Yifan Chen
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Tamara Polajnar
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Colin Batchelor
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Simone Teufel
Proceedings of the 24th Conference on Computational Natural Language Learning
We present a new summarisation task, taking scientific articles and producing journal table-of-contents entries in the chemistry domain. These are one- or two-sentence author-written summaries that present the key findings of a paper. This is a first look at this summarisation task with an open access publication corpus consisting of titles and abstracts, as input texts, and short author-written advertising blurbs, as the ground truth. We introduce the dataset and evaluate it with state-of-the-art summarisation methods.
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