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Target-Based Sentiment Analysis on DR Restaurant (test)

68.64PrecisionFull model
51.625656.042860.4664.8772Nov 13, 2018

Evaluation results

MethodLinks
Full modelComponents=Full Framework (E2E-TBSA)2018.1168.6471.0169.8
LM-LSTM-CRFTagging Scheme=Unified, Backbone=LM-enhanced LSTM-CRF2018.1168.4664.4366.38
Base model + BGComponents=Stacked LSTMs + Boundary Guidance2018.1167.5166.4266.96
LSTM-CRF-1Tagging Scheme=Unified, Backbone=LSTM-CRF2018.1166.166.366.2
Base model + BG + SCComponents=Stacked LSTMs + Boundary Guidance + Sentiment Consistency2018.1163.9569.6566.68
CRF-unifiedTagging Scheme=Unified2018.1163.3957.7460.43
Base model + BG + OEComponents=Stacked LSTMs + Boundary Guidance + Opinion Extraction2018.1162.8566.7765.22
LSTM-unifiedTagging Scheme=Unified, Backbone=LSTM2018.1162.863.4963.14
NN-CRF-unifiedTagging Scheme=Unified2018.1162.6160.5361.56
HAST-TNetTagging Scheme=Pipeline2018.1162.1873.4967.36
NN-CRF-jointTagging Scheme=Joint2018.1161.565055.18
LSTM-CRF-2Tagging Scheme=Unified, Backbone=LSTM-CRF with CNN2018.1161.5667.2664.29
Base modelComponents=Stacked LSTMs2018.1161.4866.1663.73
NN-CRF-pipelineTagging Scheme=Pipeline2018.1160.0961.9361
CRF-jointTagging Scheme=Joint2018.116048.5753.68
CRF-pipelineTagging Scheme=Pipeline2018.1152.2851.0151.64