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 326–344 of 344 papers

TitleStatusHype
DeepPavlov: Open-Source Library for Dialogue Systems—0
Multi-Layer Ensembling Techniques for Multilingual Intent Classification—0
Data Collection for Dialogue System: A Startup Perspective—0
Practical Application of Domain Dependent Confidence Measurement for Spoken Language Understanding Systems—0
Enhancing Chinese Intent Classification by Dynamically Integrating Character Features into Word Embeddings with Ensemble Techniques—0
Diverse Few-Shot Text Classification with Multiple MetricsCode0
Leveraging Crowdsourcing Data For Deep Active Learning - An Application: Learning Intents in Alexa—0
Forewords—0
Open-Domain Neural Dialogue Systems—0
A Telecom-Domain Online Customer Service Assistant Based on Question Answering with Word Embedding and Intent Classification—0
The First Evaluation of Chinese Human-Computer Dialogue TechnologyCode2
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks—0
Robust Task Clustering for Deep Many-Task Learning—0
Utterance Intent Classification of a Spoken Dialogue System with Efficiently Untied Recursive Autoencoders—0
User Intent Classification using Memory Networks: A Comparative Analysis for a Limited Data Scenario—0
Neural Graph Machines: Learning Neural Networks Using Graphs—0
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot FillingCode0
Scalable Semi-Supervised Query Classification Using Matrix Sketching—0
Identifying Intention Posts in Discussion Forums—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