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
Intent Mining from past conversations for conversational agentCode1
IDAS: Intent Discovery with Abstractive SummarizationCode1
New Intent Discovery with Pre-training and Contrastive LearningCode1
A Hybrid Architecture for Out of Domain Intent Detection and Intent DiscoveryCode1
Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive LearningCode1
Z-BERT-A: a zero-shot Pipeline for Unknown Intent detectionCode1
A Clustering Framework for Unsupervised and Semi-supervised New Intent DiscoveryCode0
One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive LearningCode0
Open Intent Discovery through Unsupervised Semantic Clustering and Dependency ParsingCode0
Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent DiscoveryCode0
Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting FrameworkCode0
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent RecognitionCode0
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent RecognitionCode0
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent DiscoveryCode0
Towards Real-world Scenario: Imbalanced New Intent DiscoveryCode0
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent DiscoveryCode0
Generalized Intent Discovery: Learning from Open World Dialogue SystemCode0
LANID: LLM-assisted New Intent DiscoveryCode0
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPTCode0
Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine HesitancyCode0
A Diffusion Weighted Graph Framework for New Intent DiscoveryCode0
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
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Benchmark Results

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