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
Knowledge Graphs
We provide the generated knowledge graphs (depth 0 & 1) for the
in data/knowledge_graphs/. Please download the datasets in data/dataset/. It will not work with the version from the official repositories. 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.
If you use the OpenDialKG dataset make sure to cite the authors correctly as well (citation information can be found in the linked dataset repository above).
Data Processing and Model
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:
python train.py --dataset komodis --depth 0 --encoding series
Reference
@inproceedings{galetzka-etal-2021-space,
title = "Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention Transformer",
author = "Galetzka, Fabian and
Rose, Jewgeni and
Schlangen, David and
Lehmann, Jens",
booktitle = "Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.acl-long.546",
doi = "10.18653/v1/2021.acl-long.546",
pages = "7028--7041"
}
License
MIT License
Copyright (c) 2021 Fabian Galetzka
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.