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 17th International Natural Language Generation Conference INLG 2024, September 23-27, 2024

Editors

Year of publication

2024

Book type

scientific monograph / conference proceedings

Publication language

english

Publisher name

Association for Computational Linguistics

Publisher name from the Ministry list

Association for Computational Linguistics

Date of publication

2024

ISBN

979-8-89176-122-3

URL

https://aclanthology.org/2024.inlg-main.0/

Chapters
Leveraging Large Language Models for Building Interpretable Rule-Based Data-to-Text Systems (p. 622-630)
Conference

17th International Natural Language Generation Conference INLG 2024, 23-27.09.2024, Tokyo, Japan

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.