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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–344 of 344 papers

TitleStatusHype
A Transfer Learning Method for Goal Recognition Exploiting Cross-Domain Spatial Features—0
A Joint Learning Framework With BERT for Spoken Language Understanding—0
Multi-task Sentence Encoding Model for Semantic Retrieval in Question Answering Systems—0
Metric Learning for Dynamic Text ClassificationCode0
Cross-lingual intent classification in a low resource industrial setting—0
RNN based Incremental Online Spoken Language Understanding—0
Iterative Delexicalization for Improved Spoken Language Understanding—0
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification—0
Controlled Text Generation for Data Augmentation in Intelligent Artificial Agents—0
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots—0
Emu: Enhancing Multilingual Sentence Embeddings with Semantic SpecializationCode0
Real-world Conversational AI for Hotel Bookings—0
Active Annotation: bootstrapping annotation lexicon and guidelines for supervised NLU learning—0
Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog—0
Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data AugmentationCode0
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems—0
Structural Scaffolds for Citation Intent Classification in Scientific PublicationsCode0
Privacy-preserving Active Learning on Sensitive Data for User Intent Classification—0
Question Embeddings Based on Shannon Entropy: Solving intent classification task in goal-oriented dialogue systemCode0
Simple, Fast, Accurate Intent Classification and Slot Labeling for Goal-Oriented Dialogue Systems—0
Intent Detection and Slots Prompt in a Closed-Domain Chatbot—0
Natural language understanding for task oriented dialog in the biomedical domain in a low resources context—0
Developing Production-Level Conversational Interfaces with Shallow Semantic Parsing—0
Subword Semantic Hashing for Intent Classification on Small DatasetsCode0
Adversarial Training for Multi-task and Multi-lingual Joint Modeling of Utterance Intent Classification—0
Modeling Temporality of Human Intentions by Domain Adaptation—0
DeepPavlov: Open-Source Library for Dialogue Systems—0
Multi-Layer Ensembling Techniques for Multilingual Intent Classification—0
Practical Application of Domain Dependent Confidence Measurement for Spoken Language Understanding Systems—0
Data Collection for Dialogue System: A Startup Perspective—0
Enhancing Chinese Intent Classification by Dynamically Integrating Character Features into Word Embeddings with Ensemble Techniques—0
Diverse Few-Shot Text Classification with Multiple MetricsCode0
Leveraging Crowdsourcing Data For Deep Active Learning - An Application: Learning Intents in Alexa—0
Forewords—0
A Telecom-Domain Online Customer Service Assistant Based on Question Answering with Word Embedding and Intent Classification—0
Open-Domain Neural Dialogue Systems—0
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks—0
Robust Task Clustering for Deep Many-Task Learning—0
Utterance Intent Classification of a Spoken Dialogue System with Efficiently Untied Recursive Autoencoders—0
User Intent Classification using Memory Networks: A Comparative Analysis for a Limited Data Scenario—0
Neural Graph Machines: Learning Neural Networks Using Graphs—0
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot FillingCode0
Scalable Semi-Supervised Query Classification Using Matrix Sketching—0
Identifying Intention Posts in Discussion Forums—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