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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 111–120 of 344 papers

Title	Date	Tasks	Status	Hype
Prompt Learning for Domain Adaptation in Task-Oriented Dialogue	Nov 10, 2022	Domain Adaptationintent-classification	—Unverified	0
Multilingual Name Entity Recognition and Intent Classification Employing Deep Learning Architectures	Nov 4, 2022	intent-classificationIntent Classification	—Unverified	0
token2vec: A Joint Self-Supervised Pre-training Framework Using Unpaired Speech and Text	Oct 30, 2022	intent-classificationIntent Classification	—Unverified	0
End-to-end Spoken Language Understanding with Tree-constrained Pointer Generator	Oct 29, 2022	intent-classificationIntent Classification	CodeCode Available	0
End-to-End Speech to Intent Prediction to improve E-commerce Customer Support Voicebot in Hindi and English	Oct 26, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
arXivEdits: Understanding the Human Revision Process in Scientific Writing	Oct 26, 2022	intent-classificationIntent Classification	—Unverified	0
Learning Better Intent Representations for Financial Open Intent Classification	Oct 25, 2022	Classificationintent-classification	—Unverified	0
Weakly Supervised Data Augmentation Through Prompting for Dialogue Understanding	Oct 25, 2022	Data AugmentationDialogue Understanding	—Unverified	0
Augmenting Task-Oriented Dialogue Systems with Relation Extraction	Oct 24, 2022	intent-classificationIntent Classification	—Unverified	0
Audio-to-Intent Using Acoustic-Textual Subword Representations from End-to-End ASR	Oct 21, 2022	intent-classificationIntent 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