SOTAVerified

Intent Recognition

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 93 papers

TitleStatusHype
End-to-End Evaluation of a Spoken Dialogue System for Learning Basic Mathematics—0
H_eval: A new hybrid evaluation metric for automatic speech recognition tasks—0
Web-API-Based Chatbot Generation with Analysis and Expansion for Training Sentences—0
Template-based Approach to Zero-shot Intent Recognition—0
Natural Language Sentence Generation from API Specifications—0
NLU for Game-based Learning in Real: Initial Evaluations—0
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding SystemsCode0
Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System—0
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection—0
Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systems—0
Developing a Chatbot system using Deep Learning based for Universities consultancyCode0
One System to Rule them All: a Universal Intent Recognition System for Customer Service Chatbots—0
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems—0
Automated hypothesis generation via Evolutionary Abduction—0
Call Larisa Ivanovna: Code-Switching Fools Multilingual NLU ModelsCode0
Robot Intent Recognition Method Based on State Grid Business Office—0
DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder—0
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent RecognitionCode0
Integrating Dialog History into End-to-End Spoken Language Understanding Systems—0
Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Conversational Systems—0
Representation based meta-learning for few-shot spoken intent recognitionCode0
Analysis and Tuning of a Voice Assistant System for Dysfluent Speech—0
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding—0
Intent Recognition and Unsupervised Slot Identification for Low Resourced Spoken Dialog Systems—0
Efficient data-driven encoding of scene motion using Eccentricity—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Chinchilla-70B (few-shot, k=5)Accuracy 92.8—Unverified
2Gopher-280B (few-shot, k=5)Accuracy 88.7—Unverified