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A. M. El-Ebshihy:
"Semi-automatic Labelling of Scientific Articles using Deep Learning to Enlarge Benchmark Data for Scientific Summarization";
in: "SIGIR '21: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval", ACM Digital Library, 2021, ISBN: 978-1-4503-8037-9, 2707.

Scientific article summarization is a challenging task not least due to the lack of large annotated corpora. In this research proposal, we present an approach to construct a large annotated corpus for scientific articles using semi-supervised/automatic annotation approaches. We intend to apply deep learning methods to increase a small seed of annotated corpus. Then, we will measure the quality of the annotated corpus on down stream informative summaries using various evaluation techniques.