Open Intent Discovery
4 papers with code • 5 benchmarks • 3 datasets
Open intent discovery aims to leverage limited prior knowledge of known intents to find fine-grained known and open intent-wise clusters.
Benchmarks
These leaderboards are used to track progress in Open Intent Discovery
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ATIS
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CLINC150
Most implemented papers
Discovering New Intents with Deep Aligned Clustering
thuiar/DeepAligned-Clustering
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In this work, we propose an effective method, Deep Aligned Clustering, to discover new intents with the aid of the limited known intent data.
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition
It is composed of two main modules: open intent detection and open intent discovery.
Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement
thuiar/CDAC-plus
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Identifying new user intents is an essential task in the dialogue system.
Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing
This paper presents an unsupervised two-stage approach to discover intents and generate meaningful intent labels automatically from a collection of unlabeled utterances in a domain.
