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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 241–250 of 344 papers

Title	Date	Tasks	Status	Hype
Intent Classification and Slot Filling for Privacy Policies	Jan 1, 2021	General Classificationintent-classification	CodeCode Available	1
Exploring Fluent Query Reformulations with Text-to-Text Transformers and Reinforcement Learning	Dec 18, 2020	intent-classificationIntent Classification	—Unverified	0
Deep Open Intent Classification with Adaptive Decision Boundary	Dec 18, 2020	ClassificationGeneral Classification	CodeCode Available	1
Generation of complex database queries and API calls from natural language utterances	Dec 15, 2020	intent-classificationIntent Classification	—Unverified	0
Using multiple ASR hypotheses to boost i18n NLU performance	Dec 7, 2020	Abstractive Text SummarizationAutomatic Speech Recognition	—Unverified	0
Delexicalized Paraphrase Generation	Dec 4, 2020	Data Augmentationintent-classification	—Unverified	0
Attentively Embracing Noise for Robust Latent Representation in BERT	Dec 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
Data-Efficient Paraphrase Generation to Bootstrap Intent Classification and Slot Labeling for New Features in Task-Oriented Dialog Systems	Dec 1, 2020	intent-classificationIntent Classification	—Unverified	0
Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention	Dec 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
STIL - Simultaneous Slot Filling, Translation, Intent Classification, and Language Identification: Initial Results using mBART on MultiATIS++	Dec 1, 2020	Classificationintent-classification	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