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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	Score
Chatbot: A Conversational Agent employed with Named Entity Recognition Model using Artificial Neural Network	Jun 19, 2020	ChatbotInformation Retrieval	—Unverified	0	0
CIF-PT: Bridging Speech and Text Representations for Spoken Language Understanding via Continuous Integrate-and-Fire Pre-Training	May 27, 2023	intent-classificationIntent Classification	—Unverified	0	0
CINS: Comprehensive Instruction for Few-shot Learning in Task-oriented Dialog Systems	Sep 10, 2021	dialog state trackingFew-Shot Learning	—Unverified	0	0
Class Embeddings for Improved Out-of-Scope Detection in Intent Classification	Nov 16, 2021	intent-classificationIntent Classification	—Unverified	0	0
CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection	Jun 11, 2021	Dota 2intent-classification	—Unverified	0	0
Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition	Mar 27, 2024	intent-classificationIntent Classification	—Unverified	0	0
Controlled Data Generation via Insertion Operations for NLU	Jul 1, 2022	intent-classificationIntent Classification	—Unverified	0	0
Controlled Text Generation for Data Augmentation in Intelligent Artificial Agents	Oct 4, 2019	Data AugmentationDecoder	—Unverified	0	0
Conversation Style Transfer using Few-Shot Learning	Feb 16, 2023	Few-Shot LearningIn-Context Learning	—Unverified	0	0
ConvoGen: Enhancing Conversational AI with Synthetic Data: A Multi-Agent Approach	Mar 21, 2025	Conversation SummarizationFew-Shot Learning	—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