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 126150 of 344 papers

TitleStatusHype
A Single Example Can Improve Zero-Shot Data Generation0
A character representation enhanced on-device Intent Classification0
Cross-lingual intent classification in a low resource industrial setting0
Creating Spoken Dialog Systems in Ultra-Low Resourced Settings0
Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses0
CourseAssist: Pedagogically Appropriate AI Tutor for Computer Science Education0
Analyzing the Impact of Varied Window Hyper-parameters on Deep CNN for sEMG based Motion Intent Classification0
Improving Intent Classification in an E-commerce Voice Assistant by Using Inter-Utterance Context0
A Comparison of LSTM and BERT for Small Corpus0
A Transfer Learning Method for Goal Recognition Exploiting Cross-Domain Spatial Features0
Improving End-to-End Speech-to-Intent Classification with Reptile0
Improving Out-of-Scope Detection in Intent Classification by Using Embeddings of the Word Graph Space of the Classes0
Improving the Intent Classification accuracy in Noisy Environment0
Fuzzy Classification of Multi-intent Utterances0
A Telecom-Domain Online Customer Service Assistant Based on Question Answering with Word Embedding and Intent Classification0
Improved intent classification based on context information using a windows-based approach0
Forewords0
Conversation Style Transfer using Few-Shot Learning0
Generalized zero-shot audio-to-intent classification0
Controlled Text Generation for Data Augmentation in Intelligent Artificial Agents0
Generation of complex database queries and API calls from natural language utterances0
Generative Adversarial Networks based on Mixed-Attentions for Citation Intent Classification in Scientific Publications0
ConvoGen: Enhancing Conversational AI with Synthetic Data: A Multi-Agent Approach0
Identifying Intention Posts in Discussion Forums0
A Deep Learning Approach to Integrate Human-Level Understanding in a Chatbot0
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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