This repo contains model for [Data-to-text Generation with Variational Sequential Planning](https://arxiv.org/abs/2202.13756) (Ratish Puduppully and Yao Fu and Mirella Lapata; In Transactions of the Association for Computational Linguistics (TACL)). This model is trained on the [RotoWire dataset](https://github.com/harvardnlp/boxscore-data). The code is available on github [repo](https://github.com/ratishsp/data2text-seq-plan-py). ## Citation ``` @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} } ``` ## License The model is available under the MIT License.