AttaCut-SC

Reported on 1 benchmark across 1 task · 1 paper · 1 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing1 result

Thai Word SegmentationonBEST-2010
F1-Score· 2019-11-16
0.9839
best: 0.9907 (LATTE (Linguistic units, lattices, PTMs, GNNs))
SOTA
AttaCut: A Fast and Accurate Neural Thai Word Segmenter arXiv:1911.07056