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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 321–330 of 344 papers

Title	Date	Tasks	Status	Hype
Intent Classification in Question-Answering Using LSTM Architectures	Jan 25, 2020	ClassificationGeneral Classification	CodeCode Available	0
Attentively Embracing Noise for Robust Latent Representation in BERT	Dec 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
Question Embeddings Based on Shannon Entropy: Solving intent classification task in goal-oriented dialogue system	Mar 25, 2019	General Classificationintent-classification	CodeCode Available	0
Unsupervised Speech Representation Pooling Using Vector Quantization	Apr 8, 2023	Emotion Recognitionintent-classification	CodeCode Available	0
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling	Sep 6, 2016	Decoderintent-classification	CodeCode Available	0
Emu: Enhancing Multilingual Sentence Embeddings with Semantic Specialization	Sep 15, 2019	intent-classificationIntent Classification	CodeCode Available	0
STIL -- Simultaneous Slot Filling, Translation, Intent Classification, and Language Identification: Initial Results using mBART on MultiATIS++	Oct 2, 2020	ClassificationGeneral Classification	CodeCode Available	0
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning	Apr 3, 2023	Cross-Lingual Transferintent-classification	CodeCode Available	0
Conversational Factor Information Retrieval Model (ConFIRM)	Oct 6, 2023	GPUInformation Retrieval	CodeCode Available	0
CAE: Mechanism to Diminish the Class Imbalanced in SLU Slot Filling Task	Sep 21, 2022	intent-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