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How Best to Hunt a Mammoth - Toward Automated Knowledge Extraction From Graphical Research Models

2023 | International Conference on Business Informatics | Citations: 0
Authors: Huettemann, Sebastian; Mueller, Roland M.; Larsen, Kai R.; Dinter, Barbara; Chiny, Joshua Campos

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Semantic filters: SciBERT

Topics: knowledge repository database system knowledge base application programming interface Python

Methods: design science metamodel computational algorithm machine learning literature study
Text mining for classifying workplace severe injury events

2022 | Americas Conference on Information Systems | Citations: 0
Authors: Goldberg, David; Zaman, Nohel

Abstract: Occupational health and safety are significant issues for many organizations. W ... Expand

Abstract: Occupational health and safety are significant issues for many organizations. Workplace accidents have significant consequences for employees, and they also cause significant disruptions to business processes.In this paper, we analyze accident narrative data collected by the Occupational Safety and Health Administration (OSHA) to classify events leading to injuries and body parts injured. These datasets are collected in textual form, which can create difficulties for nuanced statistical analyses. By creating highperforming text classifiers, we can automatically code these records and provide decision-makers with useful information. We use BERT word embeddings and several variants thereof to perform these classifications, finding accuracy of approximately 89 percent and 79 percent for event types and body parts respectively. These contributions will improve organizations' capacities to understand and act upon textual accident narratives. Collapse

Semantic filters: SciBERT

Topics: business process management Wikipedia

Methods: BERT word embedding SciBERT machine learning natural language processing

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How Best to Hunt a Mammoth - Toward Automated Knowledge Extraction From Graphical Research Models

Text mining for classifying workplace severe injury events