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 76100 of 344 papers

TitleStatusHype
Enhancing Pipeline-Based Conversational Agents with Large Language Models0
Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification0
Leveraging Pretrained ASR Encoders for Effective and Efficient End-to-End Speech Intent Classification and Slot Filling0
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 Texts0
CIF-PT: Bridging Speech and Text Representations for Spoken Language Understanding via Continuous Integrate-and-Fire Pre-Training0
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent ClassificationCode1
TaDSE: Template-aware Dialogue Sentence Embeddings0
Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding0
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 Classification0
An Exploration into the Performance of Unsupervised Cross-Task Speech Representations for "In the Wild'' Edge Applications0
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 Agent0
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 Retrieval0
Improving the Intent Classification accuracy in Noisy Environment0
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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