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Commit eecbba1b authored by Michael Heck's avatar Michael Heck
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Update README.md

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## *** For readers of "Out-of-Task Training for Dialog State Tracking Models" ***
The code update to cover the content of the paper (https://arxiv.org/abs/2011.09379) will be available here after our presentation at COLING 2020
## Introduction ## Introduction
TripPy is a new approach to dialogue state tracking (DST) which makes use of various copy mechanisms to fill slots with values. Our model has no need to maintain a list of candidate values. Instead, all values are extracted from the dialog context on-the-fly. TripPy is a new approach to dialogue state tracking (DST) which makes use of various copy mechanisms to fill slots with values. Our model has no need to maintain a list of candidate values. Instead, all values are extracted from the dialog context on-the-fly.
...@@ -27,8 +31,9 @@ With a sequence length of 180, you should expect the following average JGA: ...@@ -27,8 +31,9 @@ With a sequence length of 180, you should expect the following average JGA:
## Requirements ## Requirements
- transformers - torch (tested: 1.4.0)
- tensorboardX - transformers (tested: 2.0)
- tensorboardX (tested: 2.9.1)
## Citation ## Citation
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