HIGHLIGHTS
- who: Hui Kang from the College of Computer Science and Technology, Jilin University, Changchun, China have published the research work: A Research Toward Chinese Named Entity Recognition Based on Transfer Learning, in the Journal: (JOURNAL)
- what: The results show that the model proposed in this paper improves the accuracy of named entity recognition by 1% the recall rate by 2% and the F1 value by 2% on average in the field with low-resource. BiLSTM+CRF is used as the main framework of the model, and character boundary information is used to assist attention network . . .
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