Parsing AUC Result-Figures in Machine Learning Specific Scholarly Documents for Semantically-enriched Summarization

Iqra Safdera Department of Computer Science, Information Technology University, Lahore, Pakistan

Hafsa Batoola Department of Computer Science, Information Technology University, Lahore, Pakistan

Raheem Sarwarb Research Group in Computational Linguistics, Research Institute of Information and Language Processing, University of Wolverhampton, Wolverhampton, UK

Farooq Zamana Department of Computer Science, Information Technology University, Lahore, Pakistan

Naif Radi Aljohanic Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia

https://orcid.org/0000-0001-9153-1293

Raheel Nawazd Department of Operations, Technology, Events and Hospitality Management, Manchester Metropolitan University, Manchester, UK

Mohamed Gabere Big Data Analytics, School of Computing and Digital Technology, Birmingham City University, Birmingham, UK

Saeed-Ul Hassanf Department of Computing and Mathematics, Management, Manchester Metropolitan University, Manchester, UKCorrespondence[email protected]

https://orcid.org/0000-0002-6509-9190

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Parsing AUC Result-Figures in Machine Learning Specific Scholarly Documents for Semantically-enriched Summarization

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Parsing AUC Result-Figures in Machine Learning Specific Scholarly Documents for Semantically-enriched Summarization

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