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ResearchFormerly WizWand

Sentiment Classification on SST2 phrase

93.96AccuracyBERT+SCM
82.457685.443888.4391.4162Aug 31, 2023
Updated 8mo ago

Evaluation results

MethodLinks
BERT+SCMModel type=Latent semantic tree models, Backbone=BERT2023.0893.96
BERT (2019)Model type=Sequential models2023.0893.52
Kim et al., 2019Model type=Untagged tree (by external parser) models2023.0891.3
Gumbel-Tree (2018)Model type=Latent untagged tree models2023.0890.7
BiTreeLSTM (2017)Model type=Sentiment tree models2023.0890.3
RTCM (2019)Model type=Sentiment tree models2023.0890.3
Havrylov et al., 2019Model type=Latent untagged tree models2023.0890.2
BILSTM+SCMModel type=Latent semantic tree models, Backbone=BiLSTM2023.0890.06
TreeLSTM+LVG (2019)Model type=Sentiment tree models2023.0889.8
TreeLSTM+LVEG (2019)Model type=Sentiment tree models2023.0889.8
TreeLSTM+WG (2019)Model type=Sentiment tree models2023.0889.7
BILSTM (1997)Model type=Sequential models2023.0889.68
CRVNN (2021)Model type=Latent untagged tree models2023.0888.3
RL-SPINN (2017)Model type=Latent untagged tree models2023.0886.5
RNTN (2013)Model type=Sentiment tree models2023.0885.4
MVRNN (2013)Model type=Sentiment tree models2023.0882.9