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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 271–280 of 344 papers

Title	Date	Tasks	Status	Hype
Multilingual Name Entity Recognition and Intent Classification Employing Deep Learning Architectures	Nov 4, 2022	intent-classificationIntent Classification	—Unverified	0
Multilingual Paraphrase Generation For Bootstrapping New Features in Task-Oriented Dialog Systems	Nov 1, 2021	intent-classificationIntent Classification	—Unverified	0
Multi-modal Intent Classification for Assistive Robots with Large-scale Naturalistic Datasets	Dec 1, 2021	intent-classificationIntent Classification	—Unverified	0
Multitask Learning for Low Resource Spoken Language Understanding	Nov 24, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Fast Intent Classification for Spoken Language Understanding	Dec 3, 2019	ClassificationDecision Making	CodeCode Available	0
Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasks	Dec 16, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
A Domain Knowledge Enhanced Pre-Trained Language Model for Vertical Search: Case Study on Medicinal Products	Oct 1, 2022	Attributeintent-classification	CodeCode Available	0
Learning to Classify Open Intent via Soft Labeling and Manifold Mixup	Apr 16, 2022	intent-classificationIntent Classification	CodeCode Available	0
Exploring Robustness of Multilingual LLMs on Real-World Noisy Data	Jan 14, 2025	intent-classificationIntent Classification	CodeCode Available	0
On the Robustness of Intent Classification and Slot Labeling in Goal-oriented Dialog Systems to Real-world Noise	Apr 14, 2021	Data AugmentationGoal-Oriented Dialog	CodeCode Available	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