SOTAVerified

Spoken Language Understanding

Papers

Showing 351–400 of 550 papers

TitleStatusHype
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 Conversations—0
An Arabic Multi-Domain Spoken Language Understanding System—0
Data Augmentation with Atomic Templates for Spoken Language UnderstandingCode0
Almawave-SLU: A new dataset for SLU in Italian—0
Rationally Reappraising ATIS-based Dialogue Systems—0
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot FillingCode0
One-vs-All Models for Asynchronous Training: An Empirical Analysis—0
Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability—0
Automated Curriculum Learning for Turn-level Spoken Language Understanding with Weak Supervision—0
Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference—0
Modeling Long-Distance Cue Integration in Spoken Word Recognition—0
Data Augmentation by Data Noising for Open-vocabulary Slots in Spoken Language Understanding—0
Neural Lexicons for Slot Tagging in Spoken Language Understanding—0
A Self-Attention Joint Model for Spoken Language Understanding in Situational Dialog Applications—0
Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding—0
Transferring SLU Models in Novel Domains—0
End-to-End Spoken Language Translation—0
Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language UnderstandingCode0
Mitigating the Impact of Speech Recognition Errors on Spoken Question Answering by Adversarial Domain AdaptationCode1
M2H-GAN: A GAN-based Mapping from Machine to Human Transcripts for Speech Understanding—0
A Hierarchical Decoding Model For Spoken Language Understanding From Unaligned DataCode1
Speech Model Pre-training for End-to-End Spoken Language UnderstandingCode2
Spoken Language Intent Detection using Confusion2VecCode0
Cross-lingual transfer learning for spoken language understanding—0
A dataset for resolving referring expressions in spoken dialogue via contextual query rewrites (CQR)Code0
Decay-Function-Free Time-Aware Attention to Context and Speaker Indicator for Spoken Language UnderstandingCode0
Simple, Fast, Accurate Intent Classification and Slot Labeling for Goal-Oriented Dialogue Systems—0
Scaling Multi-Domain Dialogue State Tracking via Query Reformulation—0
Practical Semantic Parsing for Spoken Language Understanding—0
Audio-Linguistic Embeddings for Spoken SentencesCode0
Learned In Speech Recognition: Contextual Acoustic Word Embeddings—0
A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot FillingCode0
Coupled Representation Learning for Domains, Intents and Slots in Spoken Language Understanding—0
Recurrent Neural Networks with Pre-trained Language Model Embedding for Slot Filling TaskCode0
SDNet: Contextualized Attention-based Deep Network for Conversational Question AnsweringCode0
The Lost Combinator—0
Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent AgentsCode0
Spoken Language Understanding on the EdgeCode1
Parsing Coordination for Spoken Language Understanding—0
Learned in Speech Recognition: Contextual Acoustic Word Embeddings—0
FlowQA: Grasping Flow in History for Conversational Machine ComprehensionCode0
A Self-Attentive Model with Gate Mechanism for Spoken Language Understanding—0
Joint On-line Learning of a Zero-shot Spoken Semantic Parser and a Reinforcement Learning Dialogue Manager—0
Automatic Data Expansion for Customer-care Spoken Language Understanding—0
From Audio to Semantics: Approaches to end-to-end spoken language understanding—0
User Information Augmented Semantic Frame Parsing using Coarse-to-Fine Neural Networks—0
Robust Spoken Language Understanding via Paraphrasing—0
Data Augmentation for Spoken Language Understanding via Joint Variational Generation—0
Dynamically Context-Sensitive Time-Decay Attention for Dialogue Modeling—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