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An Ontological Framework for Information Extraction From Diverse Scientific Sources
2021
IEEE Access
Automatic information extraction from online published scientific documents is useful in various applications such as tagging, web indexing and search engine optimization. As a result, automatic information extraction has become among the hottest areas of research in text mining. Although various information extraction techniques have been proposed in the literature, their efficiency demands domain specific documents with static and well-defined format. Furthermore, their accuracy is challenged
doi:10.1109/access.2021.3063181
fatcat:bsoz4v7ndvb7xeltpmvo2wmkym