/Tri-NLU

Primary LanguageJupyter Notebook

Tri-NLU (Accepted at INTERSPEECH 2023)

Henry Weld, Sijia Hu, Siqu Long, Josiah Poon, Soyeon Caren Han*
University of Sydney and University of Western Australia
(*corresponding author)

The paper may be downloaded here.

@inproceedings{weld23_interspeech,
  author={Henry Weld and Sijia Hu and Siqu Long and Josiah Poon and Soyeon Han},  
  title={{Tri-level Joint Natural Language Understanding for Multi-turn Conversational Datasets}},  
  year=2023,  
  booktitle={Proc. INTERSPEECH 2023},  
  pages={700--704},  
  doi={10.21437/Interspeech.2023-2300}  
}

The code/details will be shared during the INTERSPEECH 2023, 20th–24th August 2023

The Tri-NLU model

Interspeech2023_Poster_Tri-Level