Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing

Anya Belz; Simon Mille; David Howcroft

Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing

Anya Belz, Simon Mille, David Howcroft

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

Original language	English
Title of host publication	International Natural Language Generation Conference 2020 (INLG'20)
Publisher	Association for Computational Linguistics
Pages	183–194
ISBN (Print)	9781952148545
Publication status	Published - Dec 2020
Event	13th International Conference on Natural Language Generation - Dublin City University, Dublin, Ireland Duration: 15 Dec 2020 → 18 Dec 2020 https://www.inlg2020.org/

Conference

Conference	13th International Conference on Natural Language Generation
Abbreviated title	INLG 2020
Country/Territory	Ireland
City	Dublin
Period	15/12/20 → 18/12/20
Internet address	https://www.inlg2020.org/

Access to Document

2020.inlg-1.24Final published version, 298 KBLicence: CC BY

https://www.aclweb.org/anthology/2020.inlg-1.24Licence: CC BY

Cite this

Belz, A., Mille, S., & Howcroft, D. (2020). Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing. In International Natural Language Generation Conference 2020 (INLG'20) (pp. 183–194). Association for Computational Linguistics. https://www.aclweb.org/anthology/2020.inlg-1.24

@inproceedings{196a3207794a4b7eb04dc064f88abadf,

title = "Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing",

author = "Anya Belz and Simon Mille and David Howcroft",

year = "2020",

month = dec,

language = "English",

isbn = "9781952148545",

pages = "183–194",

booktitle = "International Natural Language Generation Conference 2020 (INLG'20)",

publisher = "Association for Computational Linguistics",

note = "13th International Conference on Natural Language Generation, INLG 2020 ; Conference date: 15-12-2020 Through 18-12-2020",

url = "https://www.inlg2020.org/",

}

Belz, A, Mille, S & Howcroft, D 2020, Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing. in International Natural Language Generation Conference 2020 (INLG'20). Association for Computational Linguistics, pp. 183–194, 13th International Conference on Natural Language Generation, Dublin, Ireland, 15/12/20. <https://www.aclweb.org/anthology/2020.inlg-1.24>

Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing. / Belz, Anya; Mille, Simon; Howcroft, David.
International Natural Language Generation Conference 2020 (INLG'20). Association for Computational Linguistics, 2020. p. 183–194.

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

TY - GEN

T1 - Disentangling the Properties of Human Evaluation Methods

T2 - 13th International Conference on Natural Language Generation

AU - Belz, Anya

AU - Mille, Simon

AU - Howcroft, David

PY - 2020/12

Y1 - 2020/12

UR - https://www.inlg2020.org/challenges-accepted-papers

M3 - Conference contribution with ISSN or ISBN

SN - 9781952148545

SP - 183

EP - 194

BT - International Natural Language Generation Conference 2020 (INLG'20)

PB - Association for Computational Linguistics

Y2 - 15 December 2020 through 18 December 2020

ER -

Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing

Conference

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Cite this