Intent Detection on ATIS (test)

1.57Intent Error

Joint model with recurrent intent + slot label context

Updated 4d ago

Evaluation Results

Method
Joint model with recurrent intent + slot label context 2016.09	1.57	-
Joint model with local & recurrent slot label context 2016.09	1.68	-
Joint model with local & recurrent intent + slot label context 2016.09	1.68	-
Joint model with local & recurrent intent context 2016.09	1.79	-
Joint model with local slot label context 2016.09	1.79	-
Joint model with recurrent slot label context 2016.09	1.79	-
Joint model with local intent context 2016.09	1.9	-
Joint model with recurrent intent context 2016.09	1.9	-
Joint model with local intent + slot label context 2016.09	1.9	-
Basic joint training model 2016.09	2.02	-
Independent training RNN intent model 2016.09	2.13	-
RecNN 2016.09	4.6	-
RecNN+Viterbi 2016.09	4.6	-
Stack-Propagation + BERT 2021.10	-	97.5
LIDSNet 2021.10	-	95.97
Stack-Propagation 2021.10	-	96.9
Capsule-NLU 2021.10	-	95
SF-ID (BLSTM) network 2021.10	-	97.76
Slot-Gated BiLSTM with Attention 2021.10	-	94.1
BERTBASE 2021.10	-	97.16
DistilBERT 2021.10	-	96.98
MobileBERT 2021.10	-	96.3
TinyBERT4 2021.10	-	95.97
LIDSNet 2021.10	-	95.97