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
A Hybrid Architecture for Out of Domain Intent Detection and Intent DiscoveryCode1
Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive LearningCode1
Intent Mining from past conversations for conversational agentCode1
New Intent Discovery with Pre-training and Contrastive LearningCode1
IDAS: Intent Discovery with Abstractive SummarizationCode1
Z-BERT-A: a zero-shot Pipeline for Unknown Intent detectionCode1
Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting FrameworkCode0
LANID: LLM-assisted New Intent DiscoveryCode0
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent DiscoveryCode0
Towards Real-world Scenario: Imbalanced New Intent DiscoveryCode0
A Diffusion Weighted Graph Framework for New Intent DiscoveryCode0
Generalized Intent Discovery: Learning from Open World Dialogue SystemCode0
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent DiscoveryCode0
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent RecognitionCode0
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
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
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
UNICON: Unsupervised Intent Discovery via Semantic-level Contrastive Learning—0
Assured Automatic Programming via Large Language Models—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