https://github.com/code-implementation1/Code7/tree/main/SDNet
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
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SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
Speech Model Pre-training for End-to-End Spoken Language Understanding
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
Using Speech Synthesis to Train End-to-End Spoken Language Understanding Models
LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
Data Augmentation for Spoken Language Understanding via Pretrained Language Models
A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling
TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling
Sequential Dialogue Context Modeling for Spoken Language Understanding
Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.