Aspect-based Sentiment Analysis on REST 2015 (test)
0.7367ABSA-F1DCRAN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| DCRANPre-trained Model=ELECTRAlarge2021.06 | 0.7367 | 0.7968 | 0.799 | 0.7799 | |
| DCRANPre-trained Model=ELECTRAbase2021.06 | 0.7167 | 0.7741 | 0.788 | 0.7855 | |
| DCRANPre-trained Model=BERTlarge2021.06 | 0.6792 | 0.7445 | 0.7845 | 0.763 | |
| RACLPre-trained Model=BERTlarge2021.06 | 0.6605 | 0.7399 | 0.76 | 0.7491 | |
| WHWPre-trained Model=GloVe2021.06 | 0.6579 | — | 0.7802 | — | |
| Dual-MRCPre-trained Model=BERTlarge2021.06 | 0.6508 | 0.7508 | — | 0.7359 | |
| DCRANPre-trained Model=BERTbase2021.06 | 0.6319 | 0.7161 | 0.7586 | 0.733 | |
| IKTNPre-trained Model=BERTbase2021.06 | 0.6233 | 0.7163 | 0.7679 | 0.6985 | |
| SPANPre-trained Model=BERTlarge2021.06 | 0.6229 | 0.7463 | — | 0.5028 | |
| RACLPre-trained Model=GloVe2021.06 | 0.6031 | 0.7282 | 0.7806 | 0.6869 | |
| IMN-dPre-trained Model=BERTlarge2021.06 | 0.6022 | 0.699 | 0.7329 | 0.701 | |
| IMN-dPre-trained Model=GloVe2021.06 | 0.5791 | 0.698 | 0.7211 | 0.6065 | |
| E2E-TBSAPre-trained Model=GloVe2021.06 | 0.5738 | 0.694 | 0.7143 | 0.5881 | |
| MNNPre-trained Model=GloVe2021.06 | 0.5657 | 0.7024 | 0.6938 | 0.579 | |
| DOERPre-trained Model=GloVe2021.06 | 0.5031 | 0.6747 | — | 0.3676 |