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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 191–200 of 344 papers

TitleStatusHype
Quick Starting Dialog Systems with Paraphrase Generation—0
A Speech Representation Anonymization Framework via Selective Noise PerturbationCode0
Towards Textual Out-of-Domain Detection without In-Domain Labels—0
Bi-directional Joint Neural Networks for Intent Classification and Slot Filling—0
A new data augmentation method for intent classification enhancement and its application on spoken conversation datasets—0
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing—0
mSLAM: Massively multilingual joint pre-training for speech and text—0
A Deep Learning Approach to Integrate Human-Level Understanding in a Chatbot—0
Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF—0
Towards Explainable Dialogue System: Explaining Intent Classification using Saliency Techniques—0
Show:102550
← PrevPage 20 of 35Next →
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