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 1–25 of 42 papers

TitleStatusHype
New Intent Discovery with Pre-training and Contrastive LearningCode1
Intent Mining from past conversations for conversational agentCode1
A Hybrid Architecture for Out of Domain Intent Detection and Intent DiscoveryCode1
IDAS: Intent Discovery with Abstractive SummarizationCode1
Z-BERT-A: a zero-shot Pipeline for Unknown Intent detectionCode1
Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive LearningCode1
UNICON: Unsupervised Intent Discovery via Semantic-level Contrastive Learning—0
Assured Automatic Programming via Large Language Models—0
A Survey of Ontology Expansion for Conversational Understanding—0
Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents—0
Controllable Discovery of Intents: Incremental Deep Clustering Using Semi-Supervised Contrastive Learning—0
Dial-In LLM: Human-Aligned LLM-in-the-loop Intent Clustering for Customer Service Dialogues—0
Intent Discovery With Or Without Labeled Data Using Dependency Parser—0
IntentGPT: Few-shot Intent Discovery with Large Language Models—0
KULCQ: An Unsupervised Keyword-based Utterance Level Clustering Quality Metric—0
Multimodal Intent Discovery from Livestream Videos—0
New Intent Discovery with Attracting and Dispersing Prototype—0
RoNID: New Intent Discovery with Generated-Reliable Labels and Cluster-friendly Representations—0
Semi-supervised Intent Discovery with Contrastive Learning—0
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition—0
Towards Open Intent Discovery for Conversational Text—0
From Intent Discovery to Recognition with Topic Modeling and Synthetic Data—0
Unknown Intent Detection Using Multi-Objective Optimization on Deep Learning Classifiers—0
A Clustering Framework for Unsupervised and Semi-supervised New Intent Discovery—0
Utilisation of open intent recognition models for customer support intent detection—0
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Benchmark Results

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