SOTAVerified

Spoken Language Understanding

Papers

Showing 351400 of 550 papers

TitleStatusHype
ST-BERT: Cross-modal Language Model Pre-training For End-to-end Spoken Language Understanding0
Structured Dialogue Policy with Graph Neural Networks0
Structured Discriminative Model For Dialog State Tracking0
Structured Learning for Context-aware Spoken Language Understanding of Robotic Commands0
Style Attuned Pre-training and Parameter Efficient Fine-tuning for Spoken Language Understanding0
Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings0
Syntactic annotation of spontaneous speech: application to call-center conversation data0
Syntactic Graph Convolutional Network for Spoken Language Understanding0
Target word prediction and paraphasia classification in spoken discourse0
Task Lineages: Dialog State Tracking for Flexible Interaction0
Temporal Generalization for Spoken Language Understanding0
Tensor decomposition for minimization of E2E SLU model toward on-device processing0
The Alexa Meaning Representation Language0
The Balancing Act: Unmasking and Alleviating ASR Biases in Portuguese0
The Development of the Multilingual LUNA Corpus for Spoken Language System Porting0
The Dialog State Tracking Challenge0
The impact of domain-specific representations on BERT-based multi-domain spoken language understanding0
The importance of fillers for text representations of speech transcripts0
The Lost Combinator0
The PARLANCE mobile application for interactive search in English and Mandarin0
The Pipeline System of ASR and NLU with MLM-based Data Augmentation toward STOP Low-resource Challenge0
The SJTU System for Dialog State Tracking Challenge 20
The Spoken Language Understanding MEDIA Benchmark Dataset in the Era of Deep Learning: data updates, training and evaluation tools0
The Utility of Manual and Automatic Linguistic Error Codes for Identifying Neurodevelopmental Disorders0
Three-Module Modeling For End-to-End Spoken Language Understanding Using Pre-trained DNN-HMM-Based Acoustic-Phonetic Model0
Tie Your Embeddings Down: Cross-Modal Latent Spaces for End-to-end Spoken Language Understanding0
Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systems0
Toward Joint Language Modeling for Speech Units and Text0
Toward Low-Cost End-to-End Spoken Language Understanding0
Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks0
Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversations0
Towards End-to-End Integration of Dialog History for Improved Spoken Language Understanding0
Towards Joint Intent Detection and Slot Filling via Higher-order Attention0
Towards Reducing the Need for Speech Training Data To Build Spoken Language Understanding Systems0
Towards Semi-Supervised Semantics Understanding from Speech0
Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning0
To What Degree Can Language Borders Be Blurred In BERT-based Multilingual Spoken Language Understanding?0
Training and evaluation of an MDP model for social multi-user human-robot interaction0
Training data reduction for multilingual Spoken Language Understanding systems0
Transfer Learning for Context-Aware Spoken Language Understanding0
Transferring SLU Models in Novel Domains0
Two-Pass Low Latency End-to-End Spoken Language Understanding0
Understanding Semantics from Speech Through Pre-training0
UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions0
Un Sous-espace Th\'ematique Latent pour la Compr\'ehension du Langage Parl\'e (A Latent Topic-based Subspace for Spoken Language Understanding)0
Unsupervised Learning and Modeling of Knowledge and Intent for Spoken Dialogue Systems0
Unsupervised Spoken Utterance Classification0
Unsupervised structured semantic inference for spoken dialog reservation tasks0
User Information Augmented Semantic Frame Parsing using Coarse-to-Fine Neural Networks0
Using phone features to improve dialogue state tracking generalisation to unseen states0
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Benchmark Results

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