Multi-label Classification on KanShan-Cup dataset (test)
1.36PrecisionEXAM
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| EXAMInput Level=Word, Embedding size=256, Encoder=GRU, Hidden states=10242018.11 | 1.36 | 56.1 | 39.7 | |
| Word-TextRNNInput Level=Word2018.11 | 1.345 | 55.5 | 39.3 | |
| TextCNNInput Level=Word2018.11 | 1.331 | 55 | 38.9 | |
| FastTextInput Level=Word2018.11 | 1.325 | 54.6 | 38.7 | |
| Char-TextRNNInput Level=Character2018.11 | 1.304 | 53.7 | 38 | |
| Char-CNNInput Level=Character2018.11 | 1.299 | 53.6 | 37.9 |