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
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent ClassificationCode0
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders—0
Augmenting Automation: Intent-Based User Instruction Classification with Machine LearningCode0
Prompt Perturbation Consistency Learning for Robust Language Models—0
LinguAlchemy: Fusing Typological and Geographical Elements for Unseen Language Generalization—0
Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks—0
PerSHOP -- A Persian dataset for shopping dialogue systems modeling—0
OmniDialog: An Omnipotent Pre-training Model for Task-Oriented Dialogue System—0
Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling—0
Bengali Intent Classification with Generative Adversarial BERTCode0
Learn or Recall? Revisiting Incremental Learning with Pre-trained Language ModelsCode1
Creating Spoken Dialog Systems in Ultra-Low Resourced Settings—0
Sparse Multitask Learning for Efficient Neural Representation of Motor Imagery and Execution—0
Generalized zero-shot audio-to-intent classification—0
Dense Retrieval as Indirect Supervision for Large-space Decision MakingCode0
Privacy-preserving Representation Learning for Speech Understanding—0
IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery—0
TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent ClassificationCode0
InstructTODS: Large Language Models for End-to-End Task-Oriented Dialogue SystemsCode1
SNOiC: Soft Labeling and Noisy Mixup based Open Intent Classification Model—0
Improving End-to-End Speech Processing by Efficient Text Data Utilization with Latent Synthesis—0
Conversational Factor Information Retrieval Model (ConFIRM)Code0
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss—0
In-Context Learning for Text Classification with Many Labels—0
Leveraging Large Language Models for Exploiting ASR Uncertainty—0
Enhancing Pipeline-Based Conversational Agents with Large Language Models—0
Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification—0
Leveraging Pretrained ASR Encoders for Effective and Efficient End-to-End Speech Intent Classification and Slot Filling—0
ITALIC: An Italian Intent Classification DatasetCode1
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-trainingCode0
Reliable and Interpretable Drift Detection in Streams of Short Texts—0
CIF-PT: Bridging Speech and Text Representations for Spoken Language Understanding via Continuous Integrate-and-Fire Pre-Training—0
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent ClassificationCode1
TaDSE: Template-aware Dialogue Sentence Embeddings—0
Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding—0
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model RobustnessCode0
The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech TranslationCode0
Improving End-to-End SLU performance with Prosodic Attention and DistillationCode1
Exploring Zero and Few-shot Techniques for Intent Classification—0
An Exploration into the Performance of Unsupervised Cross-Task Speech Representations for "In the Wild'' Edge Applications—0
ReMask: A Robust Information-Masking Approach for Domain Counterfactual GenerationCode0
ViMQ: A Vietnamese Medical Question Dataset for Healthcare Dialogue System DevelopmentCode1
CitePrompt: Using Prompts to Identify Citation Intent in Scientific PapersCode0
Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision BoundaryCode0
Efficient Sequence Transduction by Jointly Predicting Tokens and DurationsCode1
Unsupervised Speech Representation Pooling Using Vector QuantizationCode0
Ericson: An Interactive Open-Domain Conversational Search Agent—0
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-TuningCode0
A Multi-Granularity Matching Attention Network for Query Intent Classification in E-commerce Retrieval—0
Improving the Intent Classification accuracy in Noisy Environment—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