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 281–290 of 344 papers

TitleStatusHype
CourseAssist: Pedagogically Appropriate AI Tutor for Computer Science Education—0
Creating Spoken Dialog Systems in Ultra-Low Resourced Settings—0
Cross-lingual intent classification in a low resource industrial setting—0
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss—0
DASB -- Discrete Audio and Speech Benchmark—0
Data Augmentation for Intent Classification with Generic Large Language Models—0
Data Augmentation for Intent Classification—0
Data Augmentation for Intent Classification of German Conversational Agents in the Finance Domain—0
Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase—0
Data balancing for boosting performance of low-frequency classes in Spoken Language Understanding—0
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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