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

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

Machine learning specific scholarly full-text documents contain a number of result-figures expressing valuable data, including experimental results, evaluations, and cross-model comparisons. The scholarly search system often overlooks this vital information while indexing important terms using conve...

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Bibliographic Details
Main Authors: Iqra Safder, Hafsa Batool, Raheem Sarwar, Farooq Zaman, Naif Radi Aljohani, Raheel Nawaz, Mohamed Gaber, Saeed-Ul Hassan
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Applied Artificial Intelligence
Online Access:http://dx.doi.org/10.1080/08839514.2021.2004347

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http://dx.doi.org/10.1080/08839514.2021.2004347

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