Intent Classification on SNIPS (test)

99.7Accuracy

Masked Graph + CRF

Updated 4d ago

Evaluation Results

Method	Links
Masked Graph + CRF 2023.03		99.7
CTRAN 2023.03		99.42
Federated Learning 2023.03		99.33
CM-net 2023.03		99.32
Elmo+BiLSTM+CRF 2023.03		99.29
Stack-Propagation + BERT 2021.10		99
BERT Seq-CLS 2023.05		99
SASBGC 2023.03		98.86
Co-interactive Transformer 2023.03		98.8
AISE 2023.03		98.7
Joint Bert 2023.03		98.6
BERTBASE 2021.10		98.26
LIDSNet 2021.10		98
Stack-Propagation 2021.10		98
LIDSNet 2021.10		98
DistilBERT 2021.10		97.94
MobileBERT 2021.10		97.71
Capsule-NLU 2021.10		97.7
SF-ID (BLSTM) network 2021.10		97.43
TinyBERT4 2021.10		97.43
BERT Seq-CLS 2023.05		97.3
Slot-Gated BiLSTM with Attention 2021.10		97
LLM2LLM 2024.03		93.86
LLM2LLM 2024.03		93.71
LLM2LLM 2024.03		92.14
Baseline 2024.03		85.43
Binary BERT 2023.05		83.8
Binary BERT 2023.05		82.9
Binary BERT 2023.05		82.5
Bi-Encoder 2023.05		72.5
Bi-Encoder 2023.05		71.9
Bi-Encoder 2023.05		70.4
Baseline 2024.03		69.71
BART 2023.05		61.4
Baseline 2024.03		60.14
GPT-2 2023.05		54.1
GPT-2 2023.05		52.2
GPT-2 2023.05		33.7
GPT-3 2023.05		13.9
Baseline 2024.03		11.86