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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 261–270 of 344 papers

Title	Date	Tasks	Status	Hype
LLM-based Weak Supervision Framework for Query Intent Classification in Video Search	Sep 13, 2024	In-Context Learningintent-classification	—Unverified	0
LLMs Will Always Hallucinate, and We Need to Live With This	Sep 9, 2024	Fact CheckingHallucination	—Unverified	0
Local-to-global learning for iterative training of production SLU models on new features	Jul 1, 2022	intent-classificationIntent Classification	—Unverified	0
Luganda Speech Intent Recognition for IoT Applications	May 16, 2024	intent-classificationIntent Classification	—Unverified	0
Meta-Inductive Node Classification across Graphs	May 14, 2021	ClassificationGeneral Knowledge	—Unverified	0
Meta learning to classify intent and slot labels with noisy few shot examples	Nov 30, 2020	Benchmarkingintent-classification	—Unverified	0
MMIU: Dataset for Visual Intent Understanding in Multimodal Assistants	Oct 13, 2021	intent-classificationIntent Classification	—Unverified	0
Modeling Temporality of Human Intentions by Domain Adaptation	Oct 1, 2018	Decision MakingDomain Adaptation	—Unverified	0
mSLAM: Massively multilingual joint pre-training for speech and text	Feb 3, 2022	cross-modal alignmentintent-classification	—Unverified	0
Multi-Layer Ensembling Techniques for Multilingual Intent Classification	Jun 20, 2018	ClassificationGeneral Classification	—Unverified	0

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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