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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	Score
A Joint Learning Framework With BERT for Spoken Language Understanding	Nov 20, 2019	Decoderintent-classification	—Unverified	0	0
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems	Jun 15, 2022	Cross-Lingual Natural Language Inferenceintent-classification	—Unverified	0	0
A Multi-Granularity Matching Attention Network for Query Intent Classification in E-commerce Retrieval	Mar 28, 2023	intent-classificationIntent Classification	—Unverified	0	0
An Adapter-Based Unified Model for Multiple Spoken Language Processing Tasks	Jun 20, 2024	Automatic Speech RecognitionDecoder	—Unverified	0	0
Analyzing the Impact of Varied Window Hyper-parameters on Deep CNN for sEMG based Motion Intent Classification	Sep 13, 2022	intent-classificationIntent Classification	—Unverified	0	0
A new data augmentation method for intent classification enhancement and its application on spoken conversation datasets	Feb 21, 2022	Active LearningData Augmentation	—Unverified	0	0
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling	Oct 26, 2021	Contrastive Learningintent-classification	—Unverified	0	0
An Exploration into the Performance of Unsupervised Cross-Task Speech Representations for "In the Wild'' Edge Applications	May 9, 2023	Emotion Recognitionintent-classification	—Unverified	0	0
A Preliminary Exploration with GPT-4o Voice Mode	Feb 14, 2025	Age ClassificationAudio Deepfake Detection	—Unverified	0	0
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection	May 1, 2022	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