BiLSTM for seq labelling (Tü_Seg-2)
Reported on 2 benchmarks across 1 task
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing2 results
- f1 macro avg (subtask 2)82.07best: 89.77 (AUUH_B)
- lev dist (subtask 2)4.71best: 36.38 (AUUH_D)