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 251275 of 344 papers

TitleStatusHype
Meta learning to classify intent and slot labels with noisy few shot examples0
SLURP: A Spoken Language Understanding Resource PackageCode1
Search4Code: Code Search Intent Classification Using Weak SupervisionCode1
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages0
SciWING– A Software Toolkit for Scientific Document Processing0
Empirical Studies of Institutional Federated Learning For Natural Language Processing0
Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness0
Improving Out-of-Scope Detection in Intent Classification by Using Embeddings of the Word Graph Space of the Classes0
Recent Neural Methods on Slot Filling and Intent Classification for Task-Oriented Dialogue Systems: A Survey0
Example-Driven Intent Prediction with ObserversCode1
End to End Binarized Neural Networks for Text Classification0
Leveraging Unpaired Text Data for Training End-to-End Speech-to-Intent Systems0
STIL -- Simultaneous Slot Filling, Translation, Intent Classification, and Language Identification: Initial Results using mBART on MultiATIS++Code0
一种结合话语伪标签注意力的人机对话意图分类方法(A Human-machine Dialogue Intent Classification Method using Utterance Pseudo Label Attention)0
Zero-Shot Learning with Common Sense Knowledge Graphs0
Augmented Natural Language for Generative Sequence Labeling0
A Comparison of LSTM and BERT for Small Corpus0
Emora: An Inquisitive Social Chatbot Who Cares For You0
Simple is Better! Lightweight Data Augmentation for Low Resource Slot Filling and Intent Classification0
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors0
Data balancing for boosting performance of low-frequency classes in Spoken Language Understanding0
Improving End-to-End Speech-to-Intent Classification with Reptile0
KBot: a Knowledge graph based chatBot for natural language understanding over linked data0
Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification0
Improving Intent Classification in an E-commerce Voice Assistant by Using Inter-Utterance Context0
Show:102550
← PrevPage 11 of 14Next →

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