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Spoken Language Understanding

Papers

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Showing 251–300 of 550 papers

TitleStatusHype
Matrix Factorization with Knowledge Graph Propagation for Unsupervised Spoken Language Understanding—0
Maximizing SLU Performance with Minimal Training Data Using Hybrid RNN Plus Rule-based Approach—0
Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference—0
Meta Auxiliary Learning for Low-resource Spoken Language Understanding—0
Meta learning to classify intent and slot labels with noisy few shot examples—0
面向中文口语理解的基于依赖引导的字特征槽填充模型(A Dependency-Guided Character-Based Slot Filling Model for Chinese Spoken Language Understanding)—0
Mining Search Query Logs for Spoken Language Understanding—0
ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding—0
Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding—0
M2H-GAN: A GAN-based Mapping from Machine to Human Transcripts for Speech Understanding—0
Modeling Long-Distance Cue Integration in Spoken Word Recognition—0
Modeling Output-Level Task Relatedness in Multi-Task Learning with Feedback Mechanism—0
Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN—0
Modeling with Recurrent Neural Networks for Open Vocabulary Slots—0
MSNER: A Multilingual Speech Dataset for Named Entity Recognition—0
MTL-SLT: Multi-Task Learning for Spoken Language Tasks—0
Multi-Domain Adversarial Learning for Slot Filling in Spoken Language Understanding—0
Multi-domain learning and generalization in dialog state tracking—0
Multi-Domain Spoken Language Understanding Using Domain- and Task-Aware Parameterization—0
Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding—0
Multimodal Audio-textual Architecture for Robust Spoken Language Understanding—0
Multimodal Audio-textual Architecture for Robust Spoken Language Understanding—0
Multitask Learning for Low Resource Spoken Language Understanding—0
Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention—0
Multi-task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding—0
Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents—0
My Science Tutor---Learning Science with a Conversational Virtual Tutor—0
Neural Belief Tracker: Data-Driven Dialogue State Tracking—0
Neural Lexicons for Slot Tagging in Spoken Language Understanding—0
Neural Machine Translation For Paraphrase Generation—0
Neural Named Entity Recognition from Subword Units—0
Non-autoregressive End-to-end Approaches for Joint Automatic Speech Recognition and Spoken Language Understanding—0
Nonparametric Bayesian Models for Spoken Language Understanding—0
On Building Spoken Language Understanding Systems for Low Resourced Languages—0
OneNet: Joint Domain, Intent, Slot Prediction for Spoken Language Understanding—0
One-vs-All Models for Asynchronous Training: An Empirical Analysis—0
On Spoken Language Understanding Systems for Low Resourced Languages—0
On the Evaluation of Speech Foundation Models for Spoken Language Understanding—0
On the Use of Semantically-Aligned Speech Representations for Spoken Language Understanding—0
Optimiser l'adaptation en ligne d'un module de compr\'ehension de la parole avec un algorithme de bandit contre un adversaire (Adversarial bandit for optimising online active learning of spoken language understanding)—0
Optimizing Generative Dialog State Tracker via Cascading Gradient Descent—0
Pair Language Models for Deriving Alternative Pronunciations and Spellings from Pronunciation Dictionaries—0
Parallel Intent and Slot Prediction using MLB Fusion—0
Parsing Coordination for Spoken Language Understanding—0
Pattern-aware Data Augmentation for Query Rewriting in Voice Assistant Systems—0
Personalized Query Rewriting in Conversational AI Agents—0
PIN: A Novel Parallel Interactive Network for Spoken Language Understanding—0
Practical Application of Domain Dependent Confidence Measurement for Spoken Language Understanding Systems—0
Practical Semantic Parsing for Spoken Language Understanding—0
Pretrained Semantic Speech Embeddings for End-to-End Spoken Language Understanding via Cross-Modal Teacher-Student Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Finstreder (Conformer + AMT, character-based)Accuracy (%)99.8—Unverified
2UniverSLUAccuracy (%)99.8—Unverified
3E2E SLP two-stepAccuracy (%)99.7—Unverified
4textual-kd-sluAccuracy (%)99.7—Unverified
5Wav2Vec2.0-ClassifierAccuracy (%)99.7—Unverified
6Finstreder (Quartznet + AMT)Accuracy (%)99.7—Unverified
7Wav2vec 2.0 SSLAccuracy (%)99.6—Unverified
8Finstreder (Conformer)Accuracy (%)99.5—Unverified
9AT-ATAccuracy (%)99.5—Unverified
10BERT, AC PretrainingAccuracy (%)99.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Finstreder (Conformer, character-based)Accuracy (%)89—Unverified
2Finstreder (Conformer)Accuracy (%)88—Unverified
3AT-ATAccuracy (%)84.9—Unverified
4Finstreder (Quartznet)Accuracy (%)84.8—Unverified
5SnipsAccuracy (%)84.2—Unverified
6GoogleAccuracy (%)79.3—Unverified
7Real + syntheticAccuracy (%)71.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Finstreder (Conformer, character-based)Accuracy-EN (%)87.9—Unverified
2Finstreder (Conformer)Accuracy-EN (%)80.4—Unverified
3Finstreder (Quartznet)Accuracy-EN (%)77.6—Unverified
4SnipsAccuracy-EN (%)68.7—Unverified
5GoogleAccuracy-EN (%)47.8—Unverified
#ModelMetricClaimedVerifiedStatus
1ALBERTF1 score77.1—Unverified
2SpeechBERTF1 score71.75—Unverified
3QANet + GANF1 score63.11—Unverified
4BaselineF1 score58.71—Unverified
#ModelMetricClaimedVerifiedStatus
1Finstreder (Conformer)Accuracy (%)95.4—Unverified
2Finstreder (Quartznet)Accuracy (%)90—Unverified
3BaselineAccuracy (%)81.6—Unverified