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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
Improving Out-of-Scope Detection in Intent Classification by Using Embeddings of the Word Graph Space of the Classes	Nov 1, 2020	ClassificationGeneral Classification	—Unverified	0
SciWING– A Software Toolkit for Scientific Document Processing	Nov 1, 2020	Citation Intent Classificationintent-classification	—Unverified	0
End to End Binarized Neural Networks for Text Classification	Oct 11, 2020	BinarizationClassification	—Unverified	0
Leveraging Unpaired Text Data for Training End-to-End Speech-to-Intent Systems	Oct 8, 2020	Data Augmentationintent-classification	—Unverified	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
一种结合话语伪标签注意力的人机对话意图分类方法(A Human-machine Dialogue Intent Classification Method using Utterance Pseudo Label Attention)	Oct 1, 2020	intent-classificationIntent Classification	—Unverified	0
Zero-Shot Learning with Common Sense Knowledge Graphs	Sep 28, 2020	Common Sense ReasoningEntity Typing	—Unverified	0
Augmented Natural Language for Generative Sequence Labeling	Sep 15, 2020	intent-classificationIntent Classification	—Unverified	0
A Comparison of LSTM and BERT for Small Corpus	Sep 11, 2020	intent-classificationIntent Classification	—Unverified	0
Emora: An Inquisitive Social Chatbot Who Cares For You	Sep 10, 2020	Chatbotintent-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