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Natural Language Processing
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Intent Detection
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ATIS
Intent Detection on ATIS
Metric: Accuracy (higher is better)
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#
Model
↕
Accuracy
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Extra Data
Paper
Date
↕
Code
1
Bi-model with decoder
98.99
No
A Bi-model based RNN Semantic Frame Parsing Mode...
2018-12-26
Code
2
Transformer-Capsule
98.89
No
-
-
-
3
Attention Encoder-Decoder NN
98.43
No
Attention-Based Recurrent Neural Network Models ...
2016-09-06
Code
4
Joint model with recurrent slot label context
98.4
No
Joint Online Spoken Language Understanding and L...
2016-09-06
-
5
CTRAN
98.07
No
CTRAN: CNN-Transformer-based Network for Natural...
2023-03-19
Code
6
Joint BERT + CRF
97.9
No
BERT for Joint Intent Classification and Slot Fi...
2019-02-28
Code
7
SF-ID
97.76
No
A Novel Bi-directional Interrelated Model for Jo...
2019-06-30
Code
8
SF-ID (BLSTM) network
97.76
No
A Novel Bi-directional Interrelated Model for Jo...
2019-06-30
Code
9
Stack-Propagation (+BERT)
97.5
No
A Stack-Propagation Framework with Token-Level I...
2019-09-05
Code
10
Joint BERT
97.5
No
BERT for Joint Intent Classification and Slot Fi...
2019-02-28
Code
11
JointBERT-CAE
97.5
No
-
-
Code
12
DELTA (BLSTM-CRF)
97.4
No
DELTA: A DEep learning based Language Technology...
2019-08-02
Code
13
AGIF
97.1
No
AGIF: An Adaptive Graph-Interactive Framework fo...
2020-04-21
Code
14
LIDSNet
95.97
No
LIDSNet: A Lightweight on-device Intent Detectio...
2021-10-06
-
15
Slot-Gated BLSTM with Attension
93.6
No
-
-
Code
16
Capsule-NLU
0.95
No
Joint Slot Filling and Intent Detection via Caps...
2018-12-22
Code
#1
Bi-model with decoder
SOTA
98.99
Accuracy
· 2018-12-26
A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling
Code
#2
Transformer-Capsule
98.89
Accuracy
No paper
#3
Attention Encoder-Decoder NN
SOTA
98.43
Accuracy
· 2016-09-06
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling
Code
#4
Joint model with recurrent slot label context
98.4
Accuracy
· 2016-09-06
Joint Online Spoken Language Understanding and Language Modeling with Recurrent Neural Networks
#5
CTRAN
98.07
Accuracy
· 2023-03-19
CTRAN: CNN-Transformer-based Network for Natural Language Understanding
Code
#6
Joint BERT + CRF
97.9
Accuracy
· 2019-02-28
BERT for Joint Intent Classification and Slot Filling
Code
#7
SF-ID
97.76
Accuracy
· 2019-06-30
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling
Code
#8
SF-ID (BLSTM) network
97.76
Accuracy
· 2019-06-30
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling
Code
#9
Stack-Propagation (+BERT)
97.5
Accuracy
· 2019-09-05
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding
Code
#10
Joint BERT
97.5
Accuracy
· 2019-02-28
BERT for Joint Intent Classification and Slot Filling
Code
#11
JointBERT-CAE
97.5
Accuracy
No paper
Code
#12
DELTA (BLSTM-CRF)
97.4
Accuracy
· 2019-08-02
DELTA: A DEep learning based Language Technology plAtform
Code
#13
AGIF
97.1
Accuracy
· 2020-04-21
AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling
Code
#14
LIDSNet
95.97
Accuracy
· 2021-10-06
LIDSNet: A Lightweight on-device Intent Detection model using Deep Siamese Network
#15
Slot-Gated BLSTM with Attension
93.6
Accuracy
No paper
Code
#16
Capsule-NLU
0.95
Accuracy
· 2018-12-22
Joint Slot Filling and Intent Detection via Capsule Neural Networks
Code