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 2650 of 344 papers

TitleStatusHype
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and SystemCode1
Speak or Chat with Me: End-to-End Spoken Language Understanding System with Flexible InputsCode1
Phoneme-BERT: Joint Language Modelling of Phoneme Sequence and ASR TranscriptCode1
Intent Classification and Slot Filling for Privacy PoliciesCode1
Deep Open Intent Classification with Adaptive Decision BoundaryCode1
SLURP: A Spoken Language Understanding Resource PackageCode1
Search4Code: Code Search Intent Classification Using Weak SupervisionCode1
Example-Driven Intent Prediction with ObserversCode1
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent ClassificationCode1
MTSI-BERT: A Session-aware Knowledge-based Conversational AgentCode1
End-to-End Slot Alignment and Recognition for Cross-Lingual NLUCode1
Stacked DeBERT: All Attention in Incomplete Data for Text ClassificationCode1
Interactive Classification by Asking Informative QuestionsCode1
ConveRT: Efficient and Accurate Conversational Representations from TransformersCode1
Reconstructing Capsule Networks for Zero-shot Intent ClassificationCode1
An Evaluation Dataset for Intent Classification and Out-of-Scope PredictionCode1
Benchmarking Natural Language Understanding Services for building Conversational AgentsCode1
BERT for Joint Intent Classification and Slot FillingCode1
Induction Networks for Few-Shot Text ClassificationCode1
Leveraging GANs for citation intent classification and its impact on citation network analysisCode0
Reward-Driven Interaction: Enhancing Proactive Dialogue Agents through User Satisfaction Prediction0
Intent Classification on Low-Resource Languages with Query Similarity Search0
In a Few Words: Comparing Weak Supervision and LLMs for Short Query Intent Classification0
ConvoGen: Enhancing Conversational AI with Synthetic Data: A Multi-Agent Approach0
Efficient Intent-Based Filtering for Multi-Party Conversations Using Knowledge Distillation from LLMs0
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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