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ratishsp/SeqPlan-GermanRotoWire
SeqPlan-GermanRotoWire is a machine learning model from ratishsp. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repo contains model for Data-to-text Generation with Variational Sequential Planning (Ratish Puduppully and Yao Fu and Mirella Lapata; In Transactions of the Association for Computational Linguistics (TACL)). Thi…
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Updated Mar 11, 2022
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From the Hugging Face model README
This repo contains model for Data-to-text Generation with Variational Sequential Planning (Ratish Puduppully and Yao Fu and Mirella Lapata; In Transactions of the Association for Computational Linguistics (TACL)). This model is trained on the German RotoWire dataset. The code is available on github repo.
@article{puduppully-2021-seq-plan,
author = {Ratish Puduppully and Yao Fu and Mirella Lapata},
title = {Data-to-text Generation with Variational Sequential Planning},
journal = {Transactions of the Association for Computational Linguistics (to appear)},
url = {https://arxiv.org/abs/2202.13756},
year = {2022}
}
The model is available under the MIT License.