E2E NLG Challenge (2018)

Task

Mapping from structured (complete) data to text representing (all of) the data, e.g.:

Website: https://www.macs.hw.ac.uk/InteractionLab/E2E/

Task description and results report

Ondřej Dušek, Jekaterina Novikova, and Verena Rieser. 2018. Findings of the E2E NLG Challenge. In Proceedings of the 11th International Conference on Natural Language Generation, pages 322–328, Tilburg University, The Netherlands. Association for Computational Linguistics.

Ondřej Dušek, Jekaterina Novikova, Verena Rieser, Evaluating the state-of-the-art of End-to-End Natural Language Generation: The E2E NLG challenge, Computer Speech & Language, Volume 59, 2020, Pages 123-156

Data

https://github.com/tuetschek/e2e-dataset/releases/download/v1.0.0/e2e-dataset.zip

System Descriptions

All participants: https://www.macs.hw.ac.uk/InteractionLab/E2E/#papers

Published papers:

• Shubham Agarwal, Marc Dymetman, and Éric Gaussier. 2018. Char2char Generation with Reranking for the E2E NLG Challenge. In Proceedings of the 11th International Conference on Natural Language Generation, pages 451–456, Tilburg University, The Netherlands. Association for Computational Linguistics.

• Jan Milan Deriu and Mark Cieliebak. 2018. Syntactic Manipulation for Generating more Diverse and Interesting Texts. In Proceedings of the 11th International Conference on Natural Language Generation, pages 22–34, Tilburg University, The Netherlands. Association for Computational Linguistics.

• Henry Elder, Sebastian Gehrmann, Alexander O’Connor, and Qun Liu. 2018. E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language. In Proceedings of the 11th International Conference on Natural Language Generation, pages 457–462, Tilburg University, The Netherlands. Association for Computational Linguistics.

• Sebastian Gehrmann, Falcon Dai, Henry Elder, and Alexander Rush. 2018. End-to-End Content and Plan Selection for Data-to-Text Generation. In Proceedings of the 11th International Conference on Natural Language Generation, pages 46–56, Tilburg University, The Netherlands. Association for Computational Linguistics.

• Juraj Juraska, Panagiotis Karagiannis, Kevin Bowden, and Marilyn Walker. 2018. A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), pages 152–162, New Orleans, Louisiana. Association for Computational Linguistics.

• Yevgeniy Puzikov and Iryna Gurevych. 2018. E2E NLG Challenge: Neural Models vs. Templates. In Proceedings of the 11th International Conference on Natural Language Generation, pages 463–471, Tilburg University, The Netherlands. Association for Computational Linguistics.

• Charese Smiley, Elnaz Davoodi, Dezhao Song, and Frank Schilder. 2018. The E2E NLG Challenge: A Tale of Two Systems. In Proceedings of the 11th International Conference on Natural Language Generation, pages 472–477, Tilburg University, The Netherlands. Association for Computational Linguistics.