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Conference papers
Improving Patent Mining and Relevance Classification using Transformers
Abstract : Patent analysis and mining are time-consuming and costly processes for companies, but nevertheless essential if they are willing to remain competitive. To face the overload induced by numerous patents, the idea is to automatically filter them, bringing only few to read to experts. This paper reports a successful application of fine-tuning and retraining on pre-trained deep Natural Language Processing models on patent classification. The solution that we propose combines several state-of-the-art treatments to achieve ourgoal : decrease the workload while preserving recall and precision metrics.
https://hal.mines-ales.fr/hal-03277767
Contributor : Administrateur Imt - Mines Alès Connect in order to contact the contributor
Submitted on : Monday, July 5, 2021 - 8:57:50 AM
Last modification on : Friday, October 22, 2021 - 2:38:02 PM
Contributor : Administrateur Imt - Mines Alès Connect in order to contact the contributor
Submitted on : Monday, July 5, 2021 - 8:57:50 AM
Last modification on : Friday, October 22, 2021 - 2:38:02 PM
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