Aspect Sentiment Triplet Extraction on 14Rest ASTE-Data-V1 (test)
73.15PrecisionJET
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| JETM=32020.10 | 73.15 | 43.62 | 54.65 | |
| JETM=62020.10 | 70.39 | 51.86 | 59.72 | |
| JETM=42020.10 | 70.25 | 49.3 | 57.94 | |
| JETM=6, Word Representation=BERT2020.10 | 70.2 | 53.02 | 60.41 | |
| JETM=22020.10 | 70 | 34.92 | 46.59 | |
| JET^oM=6, Word Representation=BERT2020.10 | 67.97 | 60.32 | 63.92 | |
| JET^oM=22020.10 | 66.3 | 35.38 | 46.14 | |
| JETM=52020.10 | 66.2 | 49.77 | 56.82 | |
| JET^oM=62020.10 | 64.31 | 54.99 | 59.29 | |
| JET^oM=42020.10 | 63.84 | 52.44 | 57.58 | |
| JET^oM=32020.10 | 62.31 | 43.16 | 50.99 | |
| JET^oM=52020.10 | 62.26 | 56.84 | 59.43 | |
| Peng et al. (2019)2020.10 | 44.18 | 62.99 | 51.89 | |
| Li-unified-R2020.10 | 41.44 | 68.79 | 51.68 | |
| CMLA+2020.10 | 40.11 | 46.63 | 43.12 | |
| RINANTE+2020.10 | 31.07 | 37.63 | 34.03 |