Aspect Sentiment Triplet Extraction on 15Rest ASTE-Data-V1 (test)
66.52PrecisionJET
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| JETM=32020.10 | 66.52 | 33.19 | 44.28 | |
| JETM=22020.10 | 64.8 | 27.91 | 39.02 | |
| JETM=42020.10 | 64.77 | 42.42 | 51.26 | |
| JETM=52020.10 | 64.14 | 40.88 | 49.93 | |
| JET^oM=62020.10 | 63.25 | 46.15 | 53.37 | |
| JETM=6, Word Representation=BERT2020.10 | 62.14 | 47.25 | 53.68 | |
| JETM=62020.10 | 61.99 | 43.74 | 51.29 | |
| JET^oM=22020.10 | 58.88 | 25.49 | 35.58 | |
| JET^oM=6, Word Representation=BERT2020.10 | 58.35 | 51.43 | 54.67 | |
| JET^oM=42020.10 | 57.57 | 42.64 | 48.99 | |
| JET^oM=32020.10 | 55.99 | 38.02 | 45.29 | |
| JET^oM=52020.10 | 52.02 | 48.13 | 50 | |
| Li-unified-R2020.10 | 43.34 | 50.73 | 46.69 | |
| Peng et al. (2019)2020.10 | 40.97 | 54.68 | 46.79 | |
| CMLA+2020.10 | 34.4 | 37.6 | 35.9 | |
| RINANTE+2020.10 | 29.4 | 26.9 | 28 |