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 51–100 of 344 papers

TitleStatusHype
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-trainingCode0
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain DetectionCode0
Question Embeddings Based on Shannon Entropy: Solving intent classification task in goal-oriented dialogue systemCode0
CAE: Mechanism to Diminish the Class Imbalanced in SLU Slot Filling TaskCode0
Predicting User Intents and Musical Attributes from Music Discovery ConversationsCode0
On the Robustness of Intent Classification and Slot Labeling in Goal-oriented Dialog Systems to Real-world NoiseCode0
ORCAS-I: Queries Annotated with Intent using Weak SupervisionCode0
Adaptive Open-Set Active Learning with Distance-Based Out-of-Distribution Detection for Robust Task-Oriented Dialog SystemCode0
The Open-World Lottery Ticket Hypothesis for OOD Intent ClassificationCode0
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain DetectionCode0
New Semantic Task for the French Spoken Language Understanding MEDIA BenchmarkCode0
CitePrompt: Using Prompts to Identify Citation Intent in Scientific PapersCode0
Diverse Few-Shot Text Classification with Multiple MetricsCode0
One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive LearningCode0
Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification DatasetCode0
Dense Retrieval as Indirect Supervision for Large-space Decision MakingCode0
Leveraging GANs for citation intent classification and its impact on citation network analysisCode0
Benchmarking Language-agnostic Intent Classification for Virtual Assistant PlatformsCode0
Joint Automatic Speech Recognition And Structure Learning For Better Speech UnderstandingCode0
Learning to Classify Open Intent via Soft Labeling and Manifold MixupCode0
Metric Learning for Dynamic Text ClassificationCode0
Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-ClassificationCode0
Intent Classification in Question-Answering Using LSTM ArchitecturesCode0
Augmenting Automation: Intent-Based User Instruction Classification with Machine LearningCode0
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent ClassificationCode0
A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasksCode0
Out-of-Scope Domain and Intent Classification through Hierarchical Joint ModelingCode0
ImpactCite: An XLNet-based method for Citation Impact AnalysisCode0
DarijaBanking: A New Resource for Overcoming Language Barriers in Banking Intent Detection for Moroccan Arabic SpeakersCode0
Attentively Embracing Noise for Robust Latent Representation in BERTCode0
Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text modelsCode0
Fast Intent Classification for Spoken Language UnderstandingCode0
Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language UnderstandingCode0
Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case StudyCode0
Exploring Description-Augmented Dataless Intent ClassificationCode0
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot FillingCode0
Exploring Robustness of Multilingual LLMs on Real-World Noisy DataCode0
A Domain Knowledge Enhanced Pre-Trained Language Model for Vertical Search: Case Study on Medicinal ProductsCode0
Explainable Abuse Detection as Intent Classification and Slot FillingCode0
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language UnderstandingCode0
Conversational Factor Information Retrieval Model (ConFIRM)Code0
End-to-end Spoken Language Understanding with Tree-constrained Pointer GeneratorCode0
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer EnsembleCode0
Bengali Intent Classification with Generative Adversarial BERTCode0
Emu: Enhancing Multilingual Sentence Embeddings with Semantic SpecializationCode0
Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language UnderstandingCode0
Evaluating N-best Calibration of Natural Language Understanding for Dialogue SystemsCode0
Neural Data Augmentation via Example ExtrapolationCode0
Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision BoundaryCode0
Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasksCode0
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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