Method and system for determining adaptation degree of named entity recognition deep learning model
The invention discloses a named entity recognition deep learning model adaptation degree determination method, and the method comprises the steps: a deep learning model information transmission assembly is connected with a deep learning model information comprehensive adaptation assembly, and the de...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention discloses a named entity recognition deep learning model adaptation degree determination method, and the method comprises the steps: a deep learning model information transmission assembly is connected with a deep learning model information comprehensive adaptation assembly, and the deep learning model information comprehensive adaptation assembly is also connected with a cloud server information storage and calling assembly; the cloud server information storage and calling assembly is further connected with the deep learning model operation information sensing and collecting assembly, the deep learning model operation information sensing and collecting assembly is further connected with the deep learning model operation information verification assembly, and the deep learning model operation information verification assembly performs rationality verification and generates a verification document at the same time; and monitoring and adapting the named entity identification information according |
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