TY - GEN
T1 - TalkSumm
AU - Lev, Guy
AU - Shmueli-Scheuer, Michal
AU - Herzig, Jonathan
AU - Jerbi, Achiya
AU - Konopnicki, David
N1 - Publisher Copyright:
© 2019 Association for Computational Linguistics.
PY - 2020
Y1 - 2020
N2 - Currently, no large-scale training data is available for the task of scientific paper summarization. In this paper, we propose a novel method that automatically generates summaries for scientific papers, by utilizing videos of talks at scientific conferences. We hypothesize that such talks constitute a coherent and concise description of the papers' content, and can form the basis for good summaries. We collected 1716 papers and their corresponding videos, and created a dataset of paper summaries. A model trained on this dataset achieves similar performance as models trained on a dataset of summaries created manually. In addition, we validated the quality of our summaries by human experts.
AB - Currently, no large-scale training data is available for the task of scientific paper summarization. In this paper, we propose a novel method that automatically generates summaries for scientific papers, by utilizing videos of talks at scientific conferences. We hypothesize that such talks constitute a coherent and concise description of the papers' content, and can form the basis for good summaries. We collected 1716 papers and their corresponding videos, and created a dataset of paper summaries. A model trained on this dataset achieves similar performance as models trained on a dataset of summaries created manually. In addition, we validated the quality of our summaries by human experts.
UR - http://www.scopus.com/inward/record.url?scp=85084080929&partnerID=8YFLogxK
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AN - SCOPUS:85084080929
T3 - ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
SP - 2125
EP - 2131
BT - ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
PB - Association for Computational Linguistics (ACL)
Y2 - 28 July 2019 through 2 August 2019
ER -