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

Showing 301344 of 344 papers

TitleStatusHype
Explainable Abuse Detection as Intent Classification and Slot FillingCode0
CitePrompt: Using Prompts to Identify Citation Intent in Scientific PapersCode0
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model RobustnessCode0
The Open-World Lottery Ticket Hypothesis for OOD Intent ClassificationCode0
Bengali Intent Classification with Generative Adversarial BERTCode0
Predicting User Intents and Musical Attributes from Music Discovery ConversationsCode0
Dense Retrieval as Indirect Supervision for Large-space Decision MakingCode0
CAPE: Context-Aware Private Embeddings for Private Language LearningCode0
A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasksCode0
Evaluating N-best Calibration of Natural Language Understanding for Dialogue SystemsCode0
Metric Learning for Dynamic Text ClassificationCode0
Benchmarking Language-agnostic Intent Classification for Virtual Assistant PlatformsCode0
Augmenting Automation: Intent-Based User Instruction Classification with Machine LearningCode0
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer EnsembleCode0
The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech TranslationCode0
DarijaBanking: A New Resource for Overcoming Language Barriers in Banking Intent Detection for Moroccan Arabic SpeakersCode0
Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision BoundaryCode0
A Speech Representation Anonymization Framework via Selective Noise PerturbationCode0
End-to-end Spoken Language Understanding with Tree-constrained Pointer GeneratorCode0
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain DetectionCode0
Intent Classification in Question-Answering Using LSTM ArchitecturesCode0
Attentively Embracing Noise for Robust Latent Representation in BERTCode0
Question Embeddings Based on Shannon Entropy: Solving intent classification task in goal-oriented dialogue systemCode0
Unsupervised Speech Representation Pooling Using Vector QuantizationCode0
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot FillingCode0
Emu: Enhancing Multilingual Sentence Embeddings with Semantic SpecializationCode0
STIL -- Simultaneous Slot Filling, Translation, Intent Classification, and Language Identification: Initial Results using mBART on MultiATIS++Code0
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-TuningCode0
Conversational Factor Information Retrieval Model (ConFIRM)Code0
CAE: Mechanism to Diminish the Class Imbalanced in SLU Slot Filling TaskCode0
Joint Automatic Speech Recognition And Structure Learning For Better Speech UnderstandingCode0
Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification DatasetCode0
STIL - Simultaneous Slot Filling, Translation, Intent Classification, and Language Identification: Initial Results using mBART on MultiATIS++Code0
ReMask: A Robust Information-Masking Approach for Domain Counterfactual GenerationCode0
Neural Data Augmentation via Example ExtrapolationCode0
Representation based meta-learning for few-shot spoken intent recognitionCode0
New Semantic Task for the French Spoken Language Understanding MEDIA BenchmarkCode0
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-trainingCode0
Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision BoundaryCode0
TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent ClassificationCode0
Structural Scaffolds for Citation Intent Classification in Scientific PublicationsCode0
Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data AugmentationCode0
Subword Semantic Hashing for Intent Classification on Small DatasetsCode0
One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TDT 0-8Accuracy (%)90.07Unverified
2Partially Fine-tuned HuBERTAccuracy (%)87.51Unverified
3Multi-SLURPAccuracy (%)78.33Unverified
4Finstreder (Conformer)Accuracy (%)53.11Unverified
5Finstreder (Quartznet)Accuracy (%)43.15Unverified
#ModelMetricClaimedVerifiedStatus
1mT5 Base (encoder-only)Intent Accuracy86.1Unverified
2mT5 Base (text-to-text)Intent Accuracy85.3Unverified
3XLM-R BaseIntent Accuracy85.1Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa-wwm-ext-baseAccuracy85.5Unverified
#ModelMetricClaimedVerifiedStatus
1BERT (query + URL)F1-score0.77Unverified