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
Proceedings Title
Proceedings of the 12th International Conference on Natural Language Generation
Conference Name
Proceedings of the 12th International Conference on Natural Language Generation
Publisher
Association for Computational Linguistics
Place
Tokyo, Japan
Date
2019
Pages
355-368
Citation Key
vanderlee2019
Accessed
27/11/2023, 20:54
Language
en
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.
<标题>: 自动生成文本的人类评估最佳实践
Read_Status: New
Read_Status_Date: 2026-01-26T11:33:34.519Z
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
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