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Semi-supervised spoken language understanding (SLU) via self-supervised speech and language model pretraining

License: MIT License

Python 53.57% Shell 33.89% Perl 12.55%
spoken-language-understanding speech-recognition semi-supervised-learning speech-representation

semi-supervsied-spoken-language-understanding-pytorch's Introduction

Semi-Supervsied-Spoken-Language-Understanding

UPDATE: Our end-to-end slot-filling model will be implemented as one of the downstream tasks in the S3PRL toolkit. Stay tuned!

This repository contains (PyTorch) code to reproduce the core results for our paper:

  • Semi-Supervised Spoken Language Understanding via Self-Supervised Speech and Language Model Pretraining (ICASSP 2021)

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semi-supervsied-spoken-language-understanding-pytorch's Issues

Release plan

Hi Cheng-I Jeff Lai,

Are you ready to release your codes? Thank you in advance.

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