SOTAVerified|Agents Browse Leaderboard About

Intent Classification

Intent Classification is the task of correctly labeling a natural language utterance from a predetermined set of intents

Source: Multi-Layer Ensembling Techniques for Multilingual Intent Classification

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–60 of 344 papers

Title	Date	Tasks	Status	Hype
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification	Mar 8, 2024	intent-classificationIntent Classification	CodeCode Available	0
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders	Mar 7, 2024	Clusteringintent-classification	—Unverified	0
Augmenting Automation: Intent-Based User Instruction Classification with Machine Learning	Mar 2, 2024	intent-classificationIntent Classification	CodeCode Available	0
Prompt Perturbation Consistency Learning for Robust Language Models	Feb 24, 2024	Data Augmentationintent-classification	—Unverified	0
LinguAlchemy: Fusing Typological and Geographical Elements for Unseen Language Generalization	Jan 11, 2024	intent-classificationIntent Classification	—Unverified	0
Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks	Jan 5, 2024	In-Context Learningintent-classification	—Unverified	0
PerSHOP -- A Persian dataset for shopping dialogue systems modeling	Jan 1, 2024	intent-classificationIntent Classification	—Unverified	0
OmniDialog: An Omnipotent Pre-training Model for Task-Oriented Dialogue System	Dec 28, 2023	Dialogue GenerationDialogue Management	—Unverified	0
Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling	Dec 21, 2023	intent-classificationIntent Classification	—Unverified	0
Bengali Intent Classification with Generative Adversarial BERT	Dec 17, 2023	ClassificationGenerative Adversarial Network	CodeCode Available	0

Show:10 25 50

← PrevPage 6 of 35Next →

All datasets SLURP MASSIVE KUAKE-QIC ORCAS-I

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	TDT 0-8	Accuracy (%)	90.07	—	Unverified
2	Partially Fine-tuned HuBERT	Accuracy (%)	87.51	—	Unverified
3	Multi-SLURP	Accuracy (%)	78.33	—	Unverified
4	Finstreder (Conformer)	Accuracy (%)	53.11	—	Unverified
5	Finstreder (Quartznet)	Accuracy (%)	43.15	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	mT5 Base (encoder-only)	Intent Accuracy	86.1	—	Unverified
2	mT5 Base (text-to-text)	Intent Accuracy	85.3	—	Unverified
3	XLM-R Base	Intent Accuracy	85.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-wwm-ext-base	Accuracy	85.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BERT (query + URL)	F1-score	0.77	—	Unverified