Technological troubleshooting based on sentence embedding with deep transformers
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DOI: 10.1007/s10845-021-01797-w
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References listed on IDEAS
- Ruben Costa & Celson Lima & João Sarraipa & Ricardo Jardim-Gonçalves, 2016. "Facilitating knowledge sharing and reuse in building and construction domain: an ontology-based approach," Journal of Intelligent Manufacturing, Springer, vol. 27(1), pages 263-282, February.
- Klaus North & Ronald Maier & Oliver Haas, 2018. "Value Creation in the Digitally Enabled Knowledge Economy," Progress in IS, in: Klaus North & Ronald Maier & Oliver Haas (ed.), Knowledge Management in Digital Change, pages 1-29, Springer.
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Cited by:
- Just, Julian, 2024. "Natural language processing for innovation search – Reviewing an emerging non-human innovation intermediary," Technovation, Elsevier, vol. 129(C).
- Aman Kumar & Binil Starly, 2022. "“FabNER”: information extraction from manufacturing process science domain literature using named entity recognition," Journal of Intelligent Manufacturing, Springer, vol. 33(8), pages 2393-2407, December.
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Keywords
Deep learning; Sentence embedding; Textual similarity; Remote technical assistance;All these keywords.
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