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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
Data balancing for boosting performance of low-frequency classes in Spoken Language Understanding	Aug 6, 2020	intent-classificationIntent Classification	—Unverified	0
Improving End-to-End Speech-to-Intent Classification with Reptile	Aug 5, 2020	ClassificationGeneral Classification	—Unverified	0
KBot: a Knowledge graph based chatBot for natural language understanding over linked data	Aug 1, 2020	Chatbotintent-classification	—Unverified	0
Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification	Jul 29, 2020	ClassificationGeneral Classification	—Unverified	0
Improving Intent Classification in an E-commerce Voice Assistant by Using Inter-Utterance Context	Jul 1, 2020	ClassificationGeneral Classification	—Unverified	0
A Study on the Influence of Architecture Complexity of RNNs for Intent Classification in E-Commerce Chats in Bahasa Indonesia	Jul 1, 2020	intent-classificationIntent Classification	—Unverified	0
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification	Jul 1, 2020	ClassificationGeneral Classification	CodeCode Available	1
IIT Gandhinagar at SemEval-2020 Task 9: Code-Mixed Sentiment Classification Using Candidate Sentence Generation and Selection	Jun 25, 2020	Humor Detectionintent-classification	—Unverified	0
Chatbot: A Conversational Agent employed with Named Entity Recognition Model using Artificial Neural Network	Jun 19, 2020	ChatbotInformation Retrieval	—Unverified	0
User Intent Inference for Web Search and Conversational Agents	May 28, 2020	General 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