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(SM-DST) Similarity-based Multi-Domain Dialogue State Tracking withCopy Mechanisms for Task-based Virtual Personal Assistants

This is our implementation for the paper:

Similarity-based Multi-Domain Dialogue State Tracking withCopy Mechanisms for Task-based Virtual Personal Assistants. Jarana Manotumruksa, Jeff Delton, Edgar Meij and Emine Yilmaz. In Proceedings of WWW 2022.

Please cite our WWW'22 paper if you use our codes. Thanks!

We re-use the origial source code of TripPy to implement our proposed SM-DST model. 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'

sm-dst's People

Contributors

feay1234 avatar

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