SOTAVerified

Intent Discovery

Given a set of labelled and unlabelled utterances, the idea is to identify existing (known) intents and potential (new intents) intents. This method can be utilised in conversational system setting.

Papers

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Showing 1–10 of 42 papers

TitleStatusHype
New Intent Discovery with Pre-training and Contrastive LearningCode1
Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive LearningCode1
Intent Mining from past conversations for conversational agentCode1
Z-BERT-A: a zero-shot Pipeline for Unknown Intent detectionCode1
A Hybrid Architecture for Out of Domain Intent Detection and Intent DiscoveryCode1
IDAS: Intent Discovery with Abstractive SummarizationCode1
Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents—0
Going beyond research datasets: Novel intent discovery in the industry setting—0
A Survey of Ontology Expansion for Conversational Understanding—0
Dial-In LLM: Human-Aligned LLM-in-the-loop Intent Clustering for Customer Service Dialogues—0
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All datasetsATISPersian-ATISSNIPS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1k-PCA + HDBSCANARI74.94—Unverified
#ModelMetricClaimedVerifiedStatus
1k-PCA + HDBSCANARI11.97—Unverified
#ModelMetricClaimedVerifiedStatus
1k-PCA + HDBSCANARI59.23—Unverified