Intent Detection on MixSNIPS

Metric: Accuracy (higher is better)

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Results

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	SSRAN	98.4	No	A Scope Sensitive and Result Attentive Model for...	2022-11-22	-
2	BiSLU	97.8	No	Joint Multiple Intent Detection and Slot Filling...	2023-08-28	Code
3	DGIF	97.8	No	A Dynamic Graph Interactive Framework with Label...	2022-11-08	-
4	TFMN	97.7	No	-	-	-
5	Co-guiding Net	97.7	No	Co-guiding Net: Achieving Mutual Guidances betwe...	2022-10-19	Code
6	TFMN (PACL)	97.4	No	A Two-Stage Prediction-Aware Contrastive Learnin...	2024-05-05	-
7	MISCA	97.3	No	MISCA: A Joint Model for Multiple Intent Detecti...	2023-12-10	Code
8	Uni-MIS	97.2	No	-	-	Code
9	SLIM	97.2	No	SLIM: Explicit Slot-Intent Mapping with BERT for...	2021-08-26	Code
10	SLIM (PACL)	96.9	No	A Two-Stage Prediction-Aware Contrastive Learnin...	2024-05-05	-
11	UGEN	96.9	No	-	-	Code
12	AGIF	96.5	No	AGIF: An Adaptive Graph-Interactive Framework fo...	2020-04-21	Code
13	RoBERTa (PACL)	96.5	No	A Two-Stage Prediction-Aware Contrastive Learnin...	2024-05-05	-
14	Topic Information	96.3	No	-	-	-
15	GL-GIN	95.6	No	GL-GIN: Fast and Accurate Non-Autoregressive Mod...	2021-06-03	Code
16	Global Intent-Slot Co-occurence	95.5	No	-	-	Code

#1SSRANSOTA
98.4
Accuracy· 2022-11-22
A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding
#2BiSLU
97.8
Accuracy· 2023-08-28
Joint Multiple Intent Detection and Slot Filling with Supervised Contrastive Learning and Self-Distillation Code
#3DGIFSOTA
97.8
Accuracy· 2022-11-08
A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understanding
#4TFMN
97.7
Accuracy
No paper
#5Co-guiding NetSOTA
97.7
Accuracy· 2022-10-19
Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs Code
#6TFMN (PACL)
97.4
Accuracy· 2024-05-05
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU
#7MISCA
97.3
Accuracy· 2023-12-10
MISCA: A Joint Model for Multiple Intent Detection and Slot Filling with Intent-Slot Co-Attention Code
#8Uni-MIS
97.2
Accuracy
No paperCode
#9SLIMSOTA
97.2
Accuracy· 2021-08-26
SLIM: Explicit Slot-Intent Mapping with BERT for Joint Multi-Intent Detection and Slot Filling Code
#10SLIM (PACL)
96.9
Accuracy· 2024-05-05
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU
#11UGEN
96.9
Accuracy
No paperCode
#12AGIFSOTA
96.5
Accuracy· 2020-04-21
AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling Code
#13RoBERTa (PACL)
96.5
Accuracy· 2024-05-05
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU
#14Topic Information
96.3
Accuracy
No paper
#15GL-GIN
95.6
Accuracy· 2021-06-03
GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling Code
#16Global Intent-Slot Co-occurence
95.5
Accuracy
No paperCode