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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 221–230 of 344 papers

Title	Date	Tasks	Status	Hype	Score
Utterance Intent Classification of a Spoken Dialogue System with Efficiently Untied Recursive Autoencoders	Aug 1, 2017	Automatic Speech Recognition (ASR)Classification	—Unverified	0	0
Weakly Supervised Data Augmentation Through Prompting for Dialogue Understanding	Oct 25, 2022	Data AugmentationDialogue Understanding	—Unverified	0	0
Adapting Long Context NLM for ASR Rescoring in Conversational Agents	Apr 21, 2021	intent-classificationIntent Classification	—Unverified	0	0
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing	Feb 17, 2022	ClassificationCPU	—Unverified	0	0
Why do you cite? An investigation on citation intents and decision-making classification processes	Jul 18, 2024	Citation Intent ClassificationDecision Making	—Unverified	0	0
Wizard of Tasks: A Novel Conversational Dataset for Solving Real-World Tasks in Conversational Settings	Oct 1, 2022	abstractive question answeringArticles	—Unverified	0	0
Word-Free Spoken Language Understanding for Mandarin-Chinese	Jul 1, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0	0
一种结合话语伪标签注意力的人机对话意图分类方法(A Human-machine Dialogue Intent Classification Method using Utterance Pseudo Label Attention)	Oct 1, 2020	intent-classificationIntent Classification	—Unverified	0	0
Zero-Shot Learning for Joint Intent and Slot Labeling	Nov 29, 2022	intent-classificationIntent Classification	—Unverified	0	0
A Semi-supervised Multi-channel Graph Convolutional Network for Query Classification in E-commerce	Aug 4, 2024	intent-classificationIntent Classification	—Unverified	0	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