Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention Transformer
This is the repository for the above mentioned paper. It can be found here: LINK TO PAPER
We provide the generated knowledge graphs (depth 0 & 1) for the
in data/knowledge_graphs/. For KOMODIS please download the dataset in data/dataset/. It will not work with the version from the official repository. Please unzip all files before running scripts.
If you are interested in the graphs with depth > 1, please contact us. We will send you corresponding download links.
To run the graph pre-processing described in Chapter 4.2 please use the following command:
python process_graphs.py --dataset komodis --depth 0 --encoding series
To run a training please use:
The train script is not implemented yet! It will be available soon.
python train.py --dataset komodis --depth 0 --encoding series
Following soon ...
MIT License
Copyright (c) 2021 Fabian Galetzka
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The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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