SOTAVerified

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

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Showing 31–40 of 344 papers

TitleStatusHype
SLURP: A Spoken Language Understanding Resource PackageCode1
Search4Code: Code Search Intent Classification Using Weak SupervisionCode1
Example-Driven Intent Prediction with ObserversCode1
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent ClassificationCode1
MTSI-BERT: A Session-aware Knowledge-based Conversational AgentCode1
End-to-End Slot Alignment and Recognition for Cross-Lingual NLUCode1
Stacked DeBERT: All Attention in Incomplete Data for Text ClassificationCode1
ConveRT: Efficient and Accurate Conversational Representations from TransformersCode1
Interactive Classification by Asking Informative QuestionsCode1
Reconstructing Capsule Networks for Zero-shot Intent ClassificationCode1
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All datasetsSLURPMASSIVEKUAKE-QICORCAS-I

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TDT 0-8Accuracy (%)90.07—Unverified
2Partially Fine-tuned HuBERTAccuracy (%)87.51—Unverified
3Multi-SLURPAccuracy (%)78.33—Unverified
4Finstreder (Conformer)Accuracy (%)53.11—Unverified
5Finstreder (Quartznet)Accuracy (%)43.15—Unverified
#ModelMetricClaimedVerifiedStatus
1mT5 Base (encoder-only)Intent Accuracy86.1—Unverified
2mT5 Base (text-to-text)Intent Accuracy85.3—Unverified
3XLM-R BaseIntent Accuracy85.1—Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa-wwm-ext-baseAccuracy85.5—Unverified
#ModelMetricClaimedVerifiedStatus
1BERT (query + URL)F1-score0.77—Unverified