Paraphrase Identification On Quora Question
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy |
|---|---|
| multiway-attention-networks-for-modeling | 89.12 |
| xlnet-generalized-autoregressive-pretraining | 90.3 |
| entailment-as-few-shot-learner | - |
| ernie-enhanced-language-representation-with | - |
| adversarial-self-attention-for-language | - |
| trans-blstm-transformer-with-bidirectional | 88.28 |
| informer-transformer-likes-informed-attention | 91.34 |
| splitee-early-exit-in-deep-neural-networks | - |
| smart-robust-and-efficient-fine-tuning-for | - |
| multi-task-deep-neural-networks-for-natural | 89.6 |
| learning-general-purpose-distributed-sentence | 87.01 |
| adversarial-self-attention-for-language | - |
| natural-language-inference-over-interaction-1 | 89.06 |
| fnet-mixing-tokens-with-fourier-transforms | - |
| self-explaining-structures-improve-nlp-models | 80 |
| structbert-incorporating-language-structures | 90.7 |
| intrinsic-dimensionality-explains-the | - |
| bilateral-multi-perspective-matching-for | 88.17 |
| smart-robust-and-efficient-fine-tuning-for | 74.8 |
| bert-pre-training-of-deep-bidirectional | - |
| cell-aware-stacked-lstms-for-modeling | 88.6 |
| multi-task-sentence-encoding-model-for | 88.86 |
| smart-robust-and-efficient-fine-tuning-for | - |
| simple-and-effective-text-matching-with-1 | 89.2 |
| 190910351 | - |
| training-complex-models-with-multi-task-weak | 89.9 |
| neural-paraphrase-identification-of-questions | 88.40 |
| data2vec-a-general-framework-for-self-1 | 92.4 |
| charformer-fast-character-transformers-via | 91.4 |
| spanbert-improving-pre-training-by | 89.5 |
| what-do-questions-exactly-ask-mfae-duplicate | 90.54 |