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ResearchFormerly WizWand

Short Text Clustering on Biomedical (ACC, NMI)

0.548AccuracySelf-Train
0.1255520.2352260.34490.454574Mar 24, 2021Aug 2, 2021Dec 12, 2021Apr 23, 2022Sep 1, 2022Jan 11, 2023May 23, 2023
Updated 8mo ago

Evaluation results

MethodLinks
Self-TrainAlgorithm=SIF + Autoencoder2021.030.5480.471
RSTC2023.050.4840.4012
RSTC-Ccontrastive learning=class-wise, pseudo-labels=SAOT2023.050.46740.3869
SCCLAveraging=Average over five random runs2021.030.4620.415
STCCAlgorithm=Word2Vec + CNN + K-means2021.030.4360.381
STC2-LPI2023.050.43370.3802
SCCL2023.050.42490.3916
K-means_IC2023.050.40440.3216
HAC-SDAlgorithm=Hierarchical Agglomerative Clustering2021.030.4010.335
Self-Train2023.050.40060.3446
SBERT(k-means)2023.050.3950.3263
RSTC-OTpseudo-labels=traditional OT2023.050.38140.3489
RSTC-Icontrastive learning=instance-wise, clustering=k-means2023.050.34390.312
TF-IDF2023.050.29130.2512
TF-IDFFeature dimension=1500, Algorithm=K-means2021.030.2830.232
BoWFeature dimension=1500, Algorithm=K-means2021.030.1430.092
BOW2023.050.14180.0851