Multi-label Classification on Zhihu dataset (test)
1.267PrecisionEXAM
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| EXAMInput Level=Word, Embedding size=256, Encoder=GRU, Hidden states=10242018.11 | 1.267 | 57.8 | 39.7 | |
| TextCNNInput Level=Word2018.11 | 1.241 | 56.6 | 38.9 | |
| Word-TextRNNInput Level=Word2018.11 | 1.24 | 56.6 | 38.9 | |
| FastTextInput Level=Word2018.11 | 1.235 | 56.4 | 38.7 |