Best practices for the human evaluation of automatically generated text
Article Status
Published
Authors/contributors
- Van Der Lee, Chris (Author)
- Gatt, Albert (Author)
- Van Miltenburg, Emiel (Author)
- Wubben, Sander (Author)
- Krahmer, Emiel (Author)
Title
Best practices for the human evaluation of automatically generated text
Date
2019
Proceedings Title
Proceedings of the 12th International Conference on Natural Language Generation
Conference Name
Proceedings of the 12th International Conference on Natural Language Generation
Place
Tokyo, Japan
Publisher
Association for Computational Linguistics
Pages
355-368
Language
en
Accessed
27/11/2023, 20:54
Library Catalogue
DOI.org (Crossref)
Extra
<AI Smry>: This paper provides an overview of how human evaluation is currently conducted, and presents a set of best practices, grounded in the literature, for Natural Language Generation systems.
Citation
Van Der Lee, C., Gatt, A., Van Miltenburg, E., Wubben, S., & Krahmer, E. (2019). Best practices for the human evaluation of automatically generated text. Proceedings of the 12th International Conference on Natural Language Generation, 355–368. https://doi.org/10.18653/v1/W19-8643
Technical methods
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