SOTAVerified

Spoken Language Understanding

Papers

Showing 351375 of 550 papers

TitleStatusHype
Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning0
Incremental processing of noisy user utterances in the spoken language understanding task0
Recent Advances in End-to-End Spoken Language Understanding0
Understanding Semantics from Speech Through Pre-training0
Learning ASR-Robust Contextualized Embeddings for Spoken Language UnderstandingCode0
CM-Net: A Novel Collaborative Memory Network for Spoken Language UnderstandingCode0
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language UnderstandingCode0
Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Conversations0
An Arabic Multi-Domain Spoken Language Understanding System0
Data Augmentation with Atomic Templates for Spoken Language UnderstandingCode0
Almawave-SLU: A new dataset for SLU in Italian0
Rationally Reappraising ATIS-based Dialogue Systems0
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot FillingCode0
One-vs-All Models for Asynchronous Training: An Empirical Analysis0
Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability0
Automated Curriculum Learning for Turn-level Spoken Language Understanding with Weak Supervision0
Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference0
Neural Lexicons for Slot Tagging in Spoken Language Understanding0
Data Augmentation by Data Noising for Open-vocabulary Slots in Spoken Language Understanding0
Modeling Long-Distance Cue Integration in Spoken Word Recognition0
A Self-Attention Joint Model for Spoken Language Understanding in Situational Dialog Applications0
Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding0
Transferring SLU Models in Novel Domains0
End-to-End Spoken Language Translation0
Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language UnderstandingCode0
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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