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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
Augmented Natural Language for Generative Sequence Labeling	Sep 15, 2020	intent-classificationIntent Classification	—Unverified	0
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages	Nov 7, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	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
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots	Sep 18, 2019	Dialogue Managementintent-classification	—Unverified	0
Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF	Dec 9, 2021	intent-classificationIntent Classification	—Unverified	0
Enhancing Chinese Intent Classification by Dynamically Integrating Character Features into Word Embeddings with Ensemble Techniques	May 23, 2018	General Classificationintent-classification	—Unverified	0
Enhancing Pipeline-Based Conversational Agents with Large Language Models	Sep 7, 2023	intent-classificationIntent Classification	—Unverified	0
Enhancing the Generalization for Intent Classification and Out-of-Domain Detection in SLU	Jun 28, 2021	intent-classificationIntent Classification	—Unverified	0
Ericson: An Interactive Open-Domain Conversational Search Agent	Apr 5, 2023	Conversational SearchDialogue Management	—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