Studies from China Southern Power Grid in the Area of Machine Learning Published (Constructing Bi-Order-Transformer-CRF With Neural Cosine Similarity Function for Power Metering Entity Recognition)
- Oct 15, 2021 4:51 pm GMT
2021 OCT 14 (NewsRx) -- By a
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According to the news editors, the research concluded: “Moreover, we analyze the complexity of the proposed methods and verify that Bi-order-Transformer-CRF achieves better power metering entity recognition results compared with the commonly used machine learning methods in experiments.”
For more information on this research see: Constructing Bi-Order-Transformer-CRF With Neural Cosine Similarity Function for Power Metering Entity Recognition. IEEE Access, 2021,9():133491-133499. (IEEE Access - http://ieeexplore.ieee.org/servlet/opac?punumber=6287639). The publisher for IEEE Access is IEEE.
A free version of this journal article is available at https://doi.org/10.1109/ACCESS.2021.3112541.
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