Target-Based Sentiment Analysis on DL Laptop (test)
63.43PrecisionBase model + BG + OE
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Base model + BG + OEComponents=Stacked LSTMs + Boundary Guidance + Opinion Extraction2018.11 | 63.43 | 49.53 | 55.62 | |
| Full modelComponents=Full Framework (E2E-TBSA)2018.11 | 61.27 | 54.89 | 57.9 | |
| Base modelComponents=Stacked LSTMs2018.11 | 60 | 46.85 | 52.61 | |
| CRF-pipelineTagging Scheme=Pipeline2018.11 | 59.69 | 47.54 | 52.93 | |
| CRF-unifiedTagging Scheme=Unified2018.11 | 59.27 | 41.86 | 49.06 | |
| Base model + BG + SCComponents=Stacked LSTMs + Boundary Guidance + Sentiment Consistency2018.11 | 58.95 | 53 | 55.81 | |
| NN-CRF-unifiedTagging Scheme=Unified2018.11 | 58.72 | 45.96 | 51.56 | |
| LSTM-CRF-2Tagging Scheme=Unified, Backbone=LSTM-CRF with CNN2018.11 | 58.66 | 51.26 | 54.71 | |
| LSTM-CRF-1Tagging Scheme=Unified, Backbone=LSTM-CRF2018.11 | 58.61 | 50.47 | 54.24 | |
| Base model + BGComponents=Stacked LSTMs + Boundary Guidance2018.11 | 58.58 | 50.63 | 54.31 | |
| LSTM-unifiedTagging Scheme=Unified, Backbone=LSTM2018.11 | 57.91 | 46.21 | 51.4 | |
| NN-CRF-pipelineTagging Scheme=Pipeline2018.11 | 57.72 | 49.32 | 53.19 | |
| CRF-jointTagging Scheme=Joint2018.11 | 57.38 | 35.76 | 44.06 | |
| HAST-TNetTagging Scheme=Pipeline2018.11 | 56.42 | 54.2 | 55.29 | |
| NN-CRF-jointTagging Scheme=Joint2018.11 | 55.64 | 34.48 | 45.49 | |
| LM-LSTM-CRFTagging Scheme=Unified, Backbone=LM-enhanced LSTM-CRF2018.11 | 53.31 | 59.4 | 56.19 |