Intent Detection on MixATIS

Metric: Accuracy (higher is better)

LeaderboardDataset

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Results

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	DGIF	83.3	No	A Dynamic Graph Interactive Framework with Label...	2022-11-08	-
2	UGEN	83	No	-	-	Code
3	TFMN (PACL)	82.9	No	A Two-Stage Prediction-Aware Contrastive Learnin...	2024-05-05	-
4	SLIM (PACL)	81.9	No	A Two-Stage Prediction-Aware Contrastive Learnin...	2024-05-05	-
5	BiSLU	81.5	No	Joint Multiple Intent Detection and Slot Filling...	2023-08-28	Code
6	TFMN	79.8	No	-	-	-
7	RoBERTa (PACL)	79.1	No	A Two-Stage Prediction-Aware Contrastive Learnin...	2024-05-05	-
8	Co-guiding Net	79.1	No	Co-guiding Net: Achieving Mutual Guidances betwe...	2022-10-19	Code
9	Uni-MIS	78.5	No	-	-	Code
10	SLIM	78.3	No	SLIM: Explicit Slot-Intent Mapping with BERT for...	2021-08-26	Code
11	SSRAN	77.9	No	A Scope Sensitive and Result Attentive Model for...	2022-11-22	-
12	MISCA	76.7	No	MISCA: A Joint Model for Multiple Intent Detecti...	2023-12-10	Code
13	GL-GIN	76.3	No	GL-GIN: Fast and Accurate Non-Autoregressive Mod...	2021-06-03	Code
14	Global Intent-Slot Co-occurence	75	No	-	-	Code
15	Topic Information	73	No	-	-	-

#1DGIFSOTA
83.3
Accuracy· 2022-11-08
A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understanding
#2UGEN
83
Accuracy
No paperCode
#3TFMN (PACL)
82.9
Accuracy· 2024-05-05
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU
#4SLIM (PACL)
81.9
Accuracy· 2024-05-05
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU
#5BiSLU
81.5
Accuracy· 2023-08-28
Joint Multiple Intent Detection and Slot Filling with Supervised Contrastive Learning and Self-Distillation Code
#6TFMN
79.8
Accuracy
No paper
#7RoBERTa (PACL)
79.1
Accuracy· 2024-05-05
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU
#8Co-guiding NetSOTA
79.1
Accuracy· 2022-10-19
Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs Code
#9Uni-MIS
78.5
Accuracy
No paperCode
#10SLIMSOTA
78.3
Accuracy· 2021-08-26
SLIM: Explicit Slot-Intent Mapping with BERT for Joint Multi-Intent Detection and Slot Filling Code
#11SSRAN
77.9
Accuracy· 2022-11-22
A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding
#12MISCA
76.7
Accuracy· 2023-12-10
MISCA: A Joint Model for Multiple Intent Detection and Slot Filling with Intent-Slot Co-Attention Code
#13GL-GINSOTA
76.3
Accuracy· 2021-06-03
GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling Code
#14Global Intent-Slot Co-occurence
75
Accuracy
No paperCode
#15Topic Information
73
Accuracy
No paper