SOTAVerified

Spoken Language Understanding

Papers

Showing 301–350 of 550 papers

TitleStatusHype
PIN: A Novel Parallel Interactive Network for Spoken Language Understanding—0
The importance of fillers for text representations of speech transcripts—0
Robust Spoken Language Understanding with RL-based Value Error Recovery—0
Variational Inference-Based Dropout in Recurrent Neural Networks for Slot Filling in Spoken Language Understanding—0
Speech To Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces—0
Large-scale Transfer Learning for Low-resource Spoken Language Understanding—0
End-to-End Neural Transformer Based Spoken Language Understanding—0
Deep F-measure Maximization for End-to-End Speech Understanding—0
Semantic Complexity in End-to-End Spoken Language Understanding—0
Data balancing for boosting performance of low-frequency classes in Spoken Language Understanding—0
Improving End-to-End Speech-to-Intent Classification with Reptile—0
Learning Spoken Language Representations with Neural Lattice Language ModelingCode1
Pretrained Semantic Speech Embeddings for End-to-End Spoken Language Understanding via Cross-Modal Teacher-Student Learning—0
Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversations—0
Neural Machine Translation For Paraphrase Generation—0
Jointly Encoding Word Confusion Network and Dialogue Context with BERT for Spoken Language UnderstandingCode1
Speech to Text Adaptation: Towards an Efficient Cross-Modal Distillation—0
Corpus Generation for Voice Command in Smart Home and the Effect of Speech Synthesis on End-to-End SLU—0
LinTO Platform: A Smart Open Voice Assistant for Business Environments—0
Multi-Domain Spoken Language Understanding Using Domain- and Task-Aware Parameterization—0
Data Augmentation for Spoken Language Understanding via Pretrained Language ModelsCode1
End-to-end speech-to-dialog-act recognition—0
AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot FillingCode1
Parallel Intent and Slot Prediction using MLB Fusion—0
Transfer Learning for Context-Aware Spoken Language Understanding—0
Small-Footprint Open-Vocabulary Keyword Spotting with Quantized LSTM Networks—0
A Data Efficient End-To-End Spoken Language Understanding Architecture—0
Dialogue history integration into end-to-end signal-to-concept spoken language understanding systems—0
Pre-Training for Query Rewriting in A Spoken Language Understanding System—0
Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses—0
Fast Intent Classification for Spoken Language UnderstandingCode0
EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural AnnotatorsCode0
A Joint Learning Framework With BERT for Spoken Language Understanding—0
Improving Slot Filling by Utilizing Contextual Information—0
Slot Tagging for Task Oriented Spoken Language Understanding in Human-to-Human Conversation Scenarios—0
A Progressive Model to Enable Continual Learning for Semantic Slot Filling—0
Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding—0
Modeling Inter-Speaker Relationship in XLNet for Contextual Spoken Language Understanding—0
SpeechBERT: An Audio-and-text Jointly Learned Language Model for End-to-end Spoken Question Answering—0
RNN based Incremental Online Spoken Language Understanding—0
Using Speech Synthesis to Train End-to-End Spoken Language Understanding ModelsCode2
Text Matters but Speech Influences: A Computational Analysis of Syntactic Ambiguity ResolutionCode0
Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding—0
Iterative Delexicalization for Improved Spoken Language Understanding—0
Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning—0
Incremental processing of noisy user utterances in the spoken language understanding task—0
Recent Advances in End-to-End Spoken Language Understanding—0
Understanding Semantics from Speech Through Pre-training—0
Learning ASR-Robust Contextualized Embeddings for Spoken Language UnderstandingCode0
CM-Net: A Novel Collaborative Memory Network for Spoken Language UnderstandingCode0
Show:102550
← PrevPage 7 of 11Next →

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