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 151–160 of 344 papers

TitleStatusHype
A Deep Learning Approach to Integrate Human-Level Understanding in a Chatbot—0
Improving the Intent Classification accuracy in Noisy Environment—0
Improved intent classification based on context information using a windows-based approach—0
Cross-lingual intent classification in a low resource industrial setting—0
Improved Text Classification via Contrastive Adversarial Training—0
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss—0
Controlled Data Generation via Insertion Operations for NLU—0
Improving End-to-End Speech Processing by Efficient Text Data Utilization with Latent Synthesis—0
Fine-grained Intent Classification in the Legal Domain—0
An Adapter-Based Unified Model for Multiple Spoken Language Processing Tasks—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