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Spoken Language Understanding

Papers

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Showing 401–450 of 550 papers

TitleStatusHype
UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions—0
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 Systems—0
Unsupervised Spoken Utterance Classification—0
Unsupervised structured semantic inference for spoken dialog reservation tasks—0
User Information Augmented Semantic Frame Parsing using Coarse-to-Fine Neural Networks—0
Using phone features to improve dialogue state tracking generalisation to unseen states—0
Variational Inference-Based Dropout in Recurrent Neural Networks for Slot Filling in Spoken Language Understanding—0
Vers la compréhension automatique de la parole bout-en-bout à moindre effort—0
WaBERT: A Low-resource End-to-end Model for Spoken Language Understanding and Speech-to-BERT Alignment—0
Warped Language Models for Noise Robust Language Understanding—0
Weak-Supervised Dysarthria-invariant Features for Spoken Language Understanding using an FHVAE and Adversarial Training—0
Web-style ranking and SLU combination for dialog state tracking—0
What BERT Based Language Model Learns in Spoken Transcripts: An Empirical Study—0
What BERT Based Language Models Learn in Spoken Transcripts: An Empirical Study—0
What has LeBenchmark Learnt about French Syntax?—0
Where are we in semantic concept extraction for Spoken Language Understanding?—0
WHISMA: A Speech-LLM to Perform Zero-shot Spoken Language Understanding—0
Word-Based Dialog State Tracking with Recurrent Neural Networks—0
Word-Free Spoken Language Understanding for Mandarin-Chinese—0
Worldly Wise (WoW) - Cross-Lingual Knowledge Fusion for Fact-based Visual Spoken-Question Answering—0
Modeling Inter-Speaker Relationship in XLNet for Contextual Spoken Language Understanding—0
MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder—0
A Comparative Study of Weighting Schemes for the Interpretation of Spoken Referring Expressions—0
A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks—0
Active Learning in Noisy Conditions for Spoken Language Understanding—0
Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning—0
Adaptive Knowledge Distillation between Text and Speech Pre-trained Models—0
A Data Efficient End-To-End Spoken Language Understanding Architecture—0
Addressing the Blind Spots in Spoken Language Processing—0
A Deep Learning System for Domain-specific Speech Recognition—0
Adobe-MIT submission to the DSTC 4 Spoken Language Understanding pilot task—0
A dual task learning approach to fine-tune a multilingual semantic speech encoder for Spoken Language Understanding—0
Adversarial Adaptation of Synthetic or Stale Data—0
A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understanding—0
A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding—0
Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy Learning—0
A Graph-to-Sequence Model for Joint Intent Detection and Slot Filling in Task-Oriented Dialogue Systems—0
A Hybrid Approach to Scalable and Robust Spoken Language Understanding in Enterprise Virtual Agents—0
A Joint and Domain-Adaptive Approach to Spoken Language Understanding—0
A Joint Learning Framework With BERT for Spoken Language Understanding—0
A Joint Model for Discovery of Aspects in Utterances—0
ALAS: Measuring Latent Speech-Text Alignment For Spoken Language Understanding In Multimodal LLMs—0
Alex: Bootstrapping a Spoken Dialogue System for a New Domain by Real Users—0
Almawave-SLU: A new dataset for SLU in Italian—0
A low latency ASR-free end to end spoken language understanding system—0
A Methodology for Obtaining Concept Graphs from Word Graphs—0
A Model of Zero-Shot Learning of Spoken Language Understanding—0
An Adversarial Learning based Multi-Step Spoken Language Understanding System through Human-Computer Interaction—0
An Approach to Improve Robustness of NLP Systems against ASR Errors—0
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All datasetsFluent Speech CommandsSnips-SmartLightsSnips-SmartSpeakerSpoken-SQuADTimers and Such

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Finstreder (Conformer + AMT, character-based)Accuracy (%)99.8—Unverified
2UniverSLUAccuracy (%)99.8—Unverified
3Finstreder (Quartznet + AMT)Accuracy (%)99.7—Unverified
4textual-kd-sluAccuracy (%)99.7—Unverified
5Wav2Vec2.0-ClassifierAccuracy (%)99.7—Unverified
6E2E SLP two-stepAccuracy (%)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