Record link: 
http://hdl.handle.net/20.500.12708/192956
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Title: 
Semi-automatic Labelling of Scientific Articles using Deep Learning to Enlarge Benchmark Data for Scientific Summarization
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Citation: 
El-Ebshihy, A. (2021). Semi-automatic Labelling of Scientific Articles using Deep Learning to Enlarge Benchmark Data for Scientific Summarization. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 2707–2707). https://doi.org/10.1145/3404835.3463271
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Publisher DOI: 
10.1145/3404835.3463271
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
El-Ebshihy, Alaa 
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Organisational Unit: 
E194-04 - Forschungsbereich Data Science 
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Published in: 
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval 
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ISBN: 
978-1-4503-8037-9
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Date (published): 
2021
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Event name: 
44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '21) 
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Event date: 
11-Jul-2021 - 15-Jul-2021
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Event place: 
Canada
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Number of Pages: 
1
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Peer reviewed: 
Yes
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Keywords: 
Scientific Summarization; Argumentative Zoning; Annotation
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Project title: 
Artificial Researcher in Science: Efficient Scientific Publication Mining: 2241716 (Wirtschaftsagentur Wien Ein Fonds der Stadt Wien) 
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Research Areas: 
Visual Computing and Human-Centered Technology: 20%
Information Systems Engineering: 20%
Computer Science Foundations: 60%
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Science Branch: 
1020 - Informatik: 90%
5020 - Wirtschaftswissenschaften: 10%
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Appears in Collections:
Conference Paper

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