Improving Dialogue State Tracking with Turn-based Loss Function and Sequential Data Augmentation

This is our implementation for the paper:

Improving Dialogue State Tracking with Turn-based Loss Function andSequential Data Augmentation. Jarana Manotumruksa, Jeff Delton, Edgar Meij and Emine Yilmaz. In Proceedings of EMNLP 2021 finding.

Please cite our EMNLP'21 paper if you use our codes. Thanks!

We re-use the origial source code of TripPy to demonstrate how to incorporate our proposed TLF and SDA methods. https://gitlab.cs.uni-duesseldorf.de/general/dsml/trippy-public

Environment Settings

• Pytorch version: '1.4'
• transformers version: '2.9.1'
• tensorboardX version: '2.0'