HIGHLIGHTS
- who: Min Lin et al. from the (UNIVERSITY) have published the paper: A lattice transformer graph deep learning model for Chinese named entity recognition, in the Journal: (JOURNAL)
- what: The experiments show that compared with 12 other state-of-the-art models LTG achieves the best results on the public datasets of Microsoft Research Asia Resume and WeiboNER with the F1 score of 95.89% 96.81% and 72.32% respectively. To learn both the relationships between words and those between characters, in this article, the authors propose a lattice-transformer-graph (LTG) deep learning . . .
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