Target-Based Sentiment Analysis on DT Twitter (test)
53.74PrecisionLSTM-CRF-2
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| LSTM-CRF-2Tagging Scheme=Unified, Backbone=LSTM-CRF with CNN2018.11 | 53.74 | 42.21 | 47.26 | |
| Base model + BG + SCComponents=Stacked LSTMs + Boundary Guidance + Sentiment Consistency2018.11 | 53.12 | 43.6 | 47.79 | |
| Base model + BG + OEComponents=Stacked LSTMs + Boundary Guidance + Opinion Extraction2018.11 | 53.1 | 43.5 | 47.78 | |
| Full modelComponents=Full Framework (E2E-TBSA)2018.11 | 53.08 | 43.56 | 48.01 | |
| Base modelComponents=Stacked LSTMs2018.11 | 53.02 | 41.47 | 46.5 | |
| Base model + BGComponents=Stacked LSTMs + Boundary Guidance2018.11 | 52.26 | 43.84 | 47.66 | |
| LSTM-CRF-1Tagging Scheme=Unified, Backbone=LSTM-CRF2018.11 | 51.67 | 44.08 | 47.52 | |
| LSTM-unifiedTagging Scheme=Unified, Backbone=LSTM2018.11 | 51.45 | 37.62 | 43.41 | |
| CRF-unifiedTagging Scheme=Unified2018.11 | 48.35 | 19.64 | 27.86 | |
| NN-CRF-unifiedTagging Scheme=Unified2018.11 | 46.32 | 32.84 | 38.36 | |
| HAST-TNetTagging Scheme=Pipeline2018.11 | 46.3 | 49.13 | 47.66 | |
| NN-CRF-jointTagging Scheme=Joint2018.11 | 44.62 | 35.84 | 39.67 | |
| NN-CRF-pipelineTagging Scheme=Pipeline2018.11 | 43.71 | 37.12 | 40.06 | |
| LM-LSTM-CRFTagging Scheme=Unified, Backbone=LM-enhanced LSTM-CRF2018.11 | 43.52 | 52.01 | 47.35 | |
| CRF-jointTagging Scheme=Joint2018.11 | 43.09 | 24.67 | 31.35 | |
| CRF-pipelineTagging Scheme=Pipeline2018.11 | 42.97 | 25.21 | 31.73 |