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Attention Is All You Need for Chinese Word Segmentation
[article]
2020
arXiv
pre-print
Taking greedy decoding algorithm as it should be, this work focuses on further strengthening the model itself for Chinese word segmentation (CWS), which results in an even more fast and more accurate CWS model. Our model consists of an attention only stacked encoder and a light enough decoder for the greedy segmentation plus two highway connections for smoother training, in which the encoder is composed of a newly proposed Transformer variant, Gaussian-masked Directional (GD) Transformer, and a
arXiv:1910.14537v3
fatcat:ed26bdgkdjcszj7rhixodujdkm