A Scalable Neural Network Based Sequence Labeling Method
A neural network and sequence labeling technology, applied in the field of natural language processing, to improve the effect, reduce the risk of model overfitting, and reduce the training time.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0029] Below in conjunction with accompanying drawing, further describe the present invention by example, but do not limit the scope of the present invention in any way.
[0030] The invention provides a new neural network model training and decoding method for sequence labeling. figure 1 It is a schematic diagram of the training method of the traditional neural network model. Such as figure 1 As shown, each standard label in the model only involves its own label, which is a single-stage model.
[0031] figure 2 It is the neural network training method of the present invention, which adopts a new labeling mode. Such as figure 2 As shown, the n-order label of a word is the original label of n words combined as a new label. Due to the change in labeling schema, the entire dataset label set has also changed. Generally speaking, the n-order label set contains all possible combinations of n first-order labels, which is equivalent to performing n-1 Cartesian products on the ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com