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**GRTr**: **G**enerative-**R**etrieval **Tr**ansformers
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==
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Code for the paper ["Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation"](https://drive.google.com/file/d/19ifYuZofZMslocQzhICgGXTHFk90b58f/view).
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Code for the paper ["Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation"](https://arxiv.org/abs/2003.01680) [[slides](https://drive.google.com/open?id=1YYxBoXJz7-AxyOUS4L1slOTf8wOVlE0n)].
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By [Igor Shalyminov](https://ishalyminov.github.io/), [Alessandro Sordoni](https://www.microsoft.com/en-us/research/people/alsordon/), [Adam Atkinson](https://www.microsoft.com/en-us/research/people/adatkins/), [Hannes Schulz](https://www.microsoft.com/en-us/research/people/haschulz/).
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![Model diagram](./img/grtr.png)
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Installation
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------------
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$ pip install git+https://github.com/nvidia/apex
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```
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Datasets and experimental setup
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--------
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- [MetaLWOz](https://www.microsoft.com/en-us/research/project/metalwoz/) [[paper](https://www.microsoft.com/en-us/research/publication/multi-domain-task-completion-dialog-challenge/)]
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- [baselines and task info](https://github.com/microsoft/dstc8-meta-dialog)
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Training a base GPT-2 model on MetaLWOz
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--------
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