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Open Intent Discovery

Open intent discovery aims to leverage limited prior knowledge of known intents to find fine-grained known and open intent-wise clusters.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1–7 of 7 papers

Title	Date	Tasks	Status	Hype
Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery	Oct 26, 2024	ClusteringContrastive Learning	CodeCode Available	0
Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering	Jul 1, 2022	ClusteringIntent Detection	—Unverified	0
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition	Sep 13, 2021	Intent DetectionIntent Discovery	CodeCode Available	0
Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing	Apr 25, 2021	ClusteringDependency Parsing	CodeCode Available	0
Discovering New Intents with Deep Aligned Clustering	Dec 16, 2020	ClusteringOpen Intent Discovery	CodeCode Available	1
Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement	Nov 20, 2019	ClusteringOpen Intent Discovery	CodeCode Available	0
Towards Open Intent Discovery for Conversational Text	Apr 17, 2019	Intent DiscoveryOpen Intent Discovery	—Unverified	0

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All datasets BANKING77 CLINC150 SNIPS Stackoverflow ATIS DBpedia

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DSSCC	ACC	69.82	—	Unverified
2	DeepAligned	ACC	64.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DSSCC	ACC	87.91	—	Unverified
2	DeepAligned	ACC	86.49	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DSSCC	ACC	94.87	—	Unverified
2	CDAC+	ACC	93.63	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DSSCC	ACC	82.65	—	Unverified
2	CDAC+	ACC	73.48	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CDAC+	ACC	91.66	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DSSCC	Clustering Accuracy	92.73	—	Unverified