Short Text Clustering on Biomedical (NMI)
3.818NMISTC2
Evaluation results
| Method | Links | |
|---|---|---|
| STC2Variant=LPI2017.01 | 3.818 | |
| STC2Variant=LE2017.01 | 3.805 | |
| Para2vec2017.01 | 3.483 | |
| STC2Variant=LSA2017.01 | 3.39 | |
| RecNNPooling=Ave.2017.01 | 3.385 | |
| RecNNPooling=Top+Ave.2017.01 | 3.375 | |
| STC2Variant=AE2017.01 | 3.358 | |
| K-meansInput=TF-IDF2017.01 | 2.543 | |
| SkipVecMode=Combine2017.01 | 1.072 | |
| SkipVecMode=Uni2017.01 | 1.052 | |
| SkipVecMode=Bi2017.01 | 1.015 | |
| K-meansInput=TF2017.01 | 0.936 | |
| RecNNPooling=Top2017.01 | 0.887 | |
| DEC-SIFComment=Baseline (using add. info)2021.04 | 0.471 | |
| DECAMPComment=Proposed2021.04 | 0.405 | |
| DECE2EComment=Proposed2021.04 | 0.383 | |
| STC2Comment=Baseline (using add. info)2021.04 | 0.381 | |
| DECComment=Baseline2021.04 | 0.377 |