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Text Classification on SST-1

52.4AccuracyBLSTM-2DCNN
4244.747.450.1May 17, 2016Nov 30, 2016Jun 16, 2017Dec 31, 2017Jul 17, 2018Jan 31, 2019Aug 17, 2019
Updated 8mo ago

Evaluation results

MethodLinks
BLSTM-2DCNNNN category=ours2016.1152.4
DiSAN2019.0851.72
TBCNNNN category=CNN2016.1151.4
Molding-CNNNN category=CNN2016.1151.2
Tree-LSTMNN category=RNN2016.1151
Tree-LSTM2019.0851
Tree-LSTM2016.0550.6
BLSTM-2DPoolingNN category=ours2016.1150.5
MPAD-sentence-att2019.0849.95
LSTM-RNNNN category=Other2016.1149.9
DRNNNN category=ReNN2016.1149.8
BLSTM-AttNN category=ours2016.1149.8
DRNN2019.0849.8
DSCNNNN category=Other2016.1149.7
MPAD-path2019.0849.68
Shared-Layer ArchitectureMulti-Task=true, Fine-Tuning=true2016.0549.6
MVCNNNN category=CNN2016.1149.6
Multi-TaskNN category=RNN2016.1149.6
LSTMNNN category=RNN2016.1149.3
C-LSTMNN category=Other2016.1149.2
C-LSTM2019.0849.2
BLSTMNN category=RNN2016.1149.1
BLSTMNN category=ours2016.1149.1
MPAD2019.0849.09
HN-ATT2019.0849
MPAD-clique2019.0848.86
PVNN category=Other2016.1148.7
doc2vec2019.0848.7
DCNN2016.0548.5
DCNNNN category=CNN2016.1148.5
DANNN category=Other2016.1148.2
LSTM-GRNN2019.0848.09
CNN-non-staticNN category=CNN2016.1148
CNN2019.0848
LSTMN2019.0847.9
DAN2019.0847.7
CNN-MCNN category=CNN2016.1147.4
RCNNNN category=RNN2016.1147.21
LSTMNN category=RNN2016.1146.4
CNN-AnaNN category=CNN2016.1145.98
RNTN2016.0545.7
RNTNNN category=ReNN2016.1145.7
PV2016.0544.6
MV-RNN2016.0544.4
NBOW2016.0542.4