SOTAVerified

Spoken Language Understanding

Papers

Showing 251–300 of 550 papers

TitleStatusHype
On joint training with interfaces for spoken language understanding—0
Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding—0
Enhancing the Generalization for Intent Classification and Out-of-Domain Detection in SLU—0
Where are we in semantic concept extraction for Spoken Language Understanding?—0
End-to-End Spoken Language Understanding for Generalized Voice Assistants—0
A Study into Pre-training Strategies for Spoken Language Understanding on Dysarthric Speech—0
Sequential End-to-End Intent and Slot Label Classification and Localization—0
An Adversarial Learning based Multi-Step Spoken Language Understanding System through Human-Computer Interaction—0
Semantic-WER: A Unified Metric for the Evaluation of ASR Transcript for End Usability—0
Worldly Wise (WoW) - Cross-Lingual Knowledge Fusion for Fact-based Visual Spoken-Question Answering—0
Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition—0
A Hybrid Approach to Scalable and Robust Spoken Language Understanding in Enterprise Virtual Agents—0
Contextual Domain Classification with Temporal Representations—0
Spoken Language Understanding for Task-oriented Dialogue Systems with Augmented Memory Networks—0
A Streaming End-to-End Framework For Spoken Language Understanding—0
Effective Slot Filling via Weakly-Supervised Dual-Model LearningCode0
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language UnderstandingCode0
Joint Text and Label Generation for Spoken Language Understanding—0
Speech2Slot: An End-to-End Knowledge-based Slot Filling from Speech—0
Pre-training for Spoken Language Understanding with Joint Textual and Phonetic Representation Learning—0
Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase—0
Integration of Pre-trained Networks with Continuous Token Interface for End-to-End Spoken Language Understanding—0
Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding—0
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding—0
Timers and Such: A Practical Benchmark for Spoken Language Understanding with NumbersCode0
Intent Recognition and Unsupervised Slot Identification for Low Resourced Spoken Dialog Systems—0
The impact of domain-specific representations on BERT-based multi-domain spoken language understanding—0
An Approach to Improve Robustness of NLP Systems against ASR Errors—0
Hallucination of speech recognition errors with sequence to sequence learning—0
A Result based Portable Framework for Spoken Language Understanding—0
Leveraging Acoustic and Linguistic Embeddings from Pretrained speech and language Models for Intent Classification—0
Do as I mean, not as I say: Sequence Loss Training for Spoken Language Understanding—0
Speech-language Pre-training for End-to-end Spoken Language Understanding—0
Joint Intent Detection and Slot Filling with Wheel-Graph Attention Networks—0
Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with SubwordsCode0
End2End Acoustic to Semantic Transduction—0
A Light Transformer For Speech-To-Intent ApplicationsCode0
Pattern-aware Data Augmentation for Query Rewriting in Voice Assistant Systems—0
Exploring Transfer Learning For End-to-End Spoken Language Understanding—0
Improving Spoken Language Understanding by Wisdom of Crowds—0
Federated Learning for Spoken Language Understanding—0
Syntactic Graph Convolutional Network for Spoken Language Understanding—0
Neural Networks approaches focused on French Spoken Language Understanding: application to the MEDIA Evaluation TaskCode0
Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention—0
Meta learning to classify intent and slot labels with noisy few shot examples—0
Tie Your Embeddings Down: Cross-Modal Latent Spaces for End-to-end Spoken Language Understanding—0
End-to-end spoken language understanding using transformer networks and self-supervised pre-trained features—0
Towards Semi-Supervised Semantics Understanding from Speech—0
To What Degree Can Language Borders Be Blurred In BERT-based Multilingual Spoken Language Understanding?—0
A low latency ASR-free end to end spoken language understanding system—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