Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Book

Download BibTeX

Title

Proceedings of the 13th International Conference on Natural Language Generation, INLG 2020

Editors

Year of publication

2020

Book type

scientific monograph / conference proceedings

Publication language

english

Publisher name

Association for Computational Linguistics (ACL)

Date of publication

2020

Number of pages

421

ISBN

978-1-952148-54-5

URL

https://www.aclweb.org/anthology/2020.inlg-1.0/

Chapters
RecipeNLG: A Cooking Recipes Dataset for Semi-Structured Text Generation (p. 22-28)
Conference

International Conference on Natural Language Generation, INLG 2020, 15-18.12.2020, Dublin, Ireland

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