Paraphrase Identification On Quora Question

Accuracy

评测结果

各个模型在此基准测试上的表现结果

比较表格

模型名称	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