Causal knowledge extraction from long text maintenance documents

Author:

Hershowitz Brad,Hodkiewicz MelindaORCID,Bikaun Tyler,Stewart MichaelORCID,Liu Wei

Publisher

Elsevier BV

Reference36 articles.

1. Al Sharou, K., Li, Z., Specia, L., 2021. Towards a Better Understanding of Noise in Natural Language Processing. In: Proceedings of the International Conference on Recent Advances in Natural Language Processing. RANLP 2021, pp. 53–62.

2. Extracting failure time data from industrial maintenance records using text mining;Arif-Uz-Zaman;Adv. Eng. Inform.,2017

3. Confidently extracting hierarchical taxonomy information from unstructured maintenance records of industrial equipment;Bhardwaj;Int. J. Prod. Res.,2023

4. QuickGraph: A rapid annotation tool for knowledge graph extraction from technical text;Bikaun,2022

5. Technical language processing: Unlocking maintenance knowledge;Brundage;Manuf. Lett.,2021

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