HIGHLIGHTS
- who: Yuekun Ma and colleagues from the School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China have published the paper: A Multigranularity Text Driven Named Entity Recognition CGAN Model for Traditional Chinese Medicine Literatures, in the Journal: Computational Intelligence and Neuroscience of 24/09/2022
- what: The authors propose a multigranularity text-driven NER model based on Conditional Generation Adversarial Network (MT-CGAN) to implement TCM NER with small-scale annotated corpus. The authors compare the method with other baseline methods to illustrate the effectiveness of the method on 4 . . .
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