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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 231–240 of 344 papers

Title	Date	Tasks	Status	Hype	Score
Zero-Shot Learning with Common Sense Knowledge Graphs	Sep 28, 2020	Common Sense ReasoningEntity Typing	—Unverified	0	0
A character representation enhanced on-device Intent Classification	Jan 12, 2021	ClassificationGeneral Classification	—Unverified	0	0
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification	Oct 9, 2019	Data AugmentationGeneral Classification	—Unverified	0	0
A Comparison of LSTM and BERT for Small Corpus	Sep 11, 2020	intent-classificationIntent Classification	—Unverified	0	0
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages	Nov 7, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0	0
Active Annotation: bootstrapping annotation lexicon and guidelines for supervised NLU learning	Aug 12, 2019	intent-classificationIntent Classification	—Unverified	0	0
A Deep Learning Approach to Integrate Human-Level Understanding in a Chatbot	Dec 31, 2021	Chatbotintent-classification	—Unverified	0	0
Adversarial Training for Multi-task and Multi-lingual Joint Modeling of Utterance Intent Classification	Oct 1, 2018	General Classificationintent-classification	—Unverified	0	0
A Financial Service Chatbot based on Deep Bidirectional Transformers	Feb 17, 2020	Chatbotintent-classification	—Unverified	0	0
A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding	Nov 4, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—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