Automated learning of templates for data-to-text generation: comparing rule-based, statistical and neural methods

Chris van der Lee, Emiel Krahmer, Sander Wubben

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Natural Language Generation
PublisherAssociation for Computational Linguistics (ACL)
Pages35- 45
Number of pages10
Publication statusPublished - 2018
Event11th International Conference on Natural Language Generation - Tilburg University, Tilburg, Netherlands
Duration: 5 Nov 2018 → 8 Nov 2018
Conference number: 11
https://inlg2018.uvt.nl/

Conference

Conference11th International Conference on Natural Language Generation
Abbreviated titleINLG 2018
CountryNetherlands
CityTilburg
Period5/11/18 → 8/11/18
Internet address

Cite this

van der Lee, C., Krahmer, E., & Wubben, S. (2018). Automated learning of templates for data-to-text generation: comparing rule-based, statistical and neural methods. In Proceedings of the 11th International Conference on Natural Language Generation (pp. 35- 45). Association for Computational Linguistics (ACL).
van der Lee, Chris ; Krahmer, Emiel ; Wubben, Sander. / Automated learning of templates for data-to-text generation : comparing rule-based, statistical and neural methods. Proceedings of the 11th International Conference on Natural Language Generation. Association for Computational Linguistics (ACL), 2018. pp. 35- 45
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title = "Automated learning of templates for data-to-text generation: comparing rule-based, statistical and neural methods",
author = "{van der Lee}, Chris and Emiel Krahmer and Sander Wubben",
year = "2018",
language = "English",
pages = "35-- 45",
booktitle = "Proceedings of the 11th International Conference on Natural Language Generation",
publisher = "Association for Computational Linguistics (ACL)",

}

van der Lee, C, Krahmer, E & Wubben, S 2018, Automated learning of templates for data-to-text generation: comparing rule-based, statistical and neural methods. in Proceedings of the 11th International Conference on Natural Language Generation. Association for Computational Linguistics (ACL), pp. 35- 45, 11th International Conference on Natural Language Generation, Tilburg, Netherlands, 5/11/18.

Automated learning of templates for data-to-text generation : comparing rule-based, statistical and neural methods. / van der Lee, Chris; Krahmer, Emiel; Wubben, Sander.

Proceedings of the 11th International Conference on Natural Language Generation. Association for Computational Linguistics (ACL), 2018. p. 35- 45.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Automated learning of templates for data-to-text generation

T2 - comparing rule-based, statistical and neural methods

AU - van der Lee, Chris

AU - Krahmer, Emiel

AU - Wubben, Sander

PY - 2018

Y1 - 2018

M3 - Conference contribution

SP - 35

EP - 45

BT - Proceedings of the 11th International Conference on Natural Language Generation

PB - Association for Computational Linguistics (ACL)

ER -

van der Lee C, Krahmer E, Wubben S. Automated learning of templates for data-to-text generation: comparing rule-based, statistical and neural methods. In Proceedings of the 11th International Conference on Natural Language Generation. Association for Computational Linguistics (ACL). 2018. p. 35- 45

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