HumEval 2023 : Third Workshop on Human Evaluation of NLP Systems
Call For Papers
Third Workshop on Human Evaluation of NLP Systems (HumEval’23)
RANLP’23, Varna, Bulgaria, 7 or 8 September 2023
First Call for Papers
The Third Workshop on Human Evaluation of NLP Systems (HumEval’23) invites the submission of long and short papers on substantial, original, and unpublished research on all aspects of human evaluation of NLP systems with a focus on NLP systems which produce language as output. We welcome work on any quality criteria relevant to NLP, on both intrinsic evaluation (which assesses systems and outputs directly) and extrinsic evaluation (which assesses systems and outputs indirectly in terms of its impact on an external task or system), on quantitative as well as qualitative methods, score-based (discrete or continuous scores) as well as annotation-based (marking, highlighting).
Workshop paper submission deadline: 10 July 2023
Workshop paper acceptance notification: 5 August 2023
Workshop paper camera-ready versions: 25 August 2023
Workshop camera-ready proceedings ready: 31 August 2023
All deadlines are 23:59 UTC-12.
We invite papers on topics including, but not limited to, the following:
Experimental design and methods for human evaluations
Reproducibility of human evaluations
Work on inter-evaluator and intra-evaluator agreement
Ethical considerations in human evaluation of computational systems
Quality assurance for human evaluation
Crowdsourcing for human evaluation
Issues in meta-evaluation of automatic metrics by correlation with human evaluations
Alternative forms of meta-evaluation and validation of human evaluations
Comparability of different human evaluations
Methods for assessing the quality and the reliability of human evaluations
Role of human evaluation in the context of Responsible and Accountable AI
We welcome work from any subfield of NLP (and ML/AI more generally), with a particular focus on evaluation of systems that produce language as output.
ReproNLP shared task
The workshop will also host a shared Task on Reproducibility of Evaluations in NLP (ReproNLP) -- more details coming soon.
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Long papers must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers may consist of up to eight (8) pages of content, plus unlimited pages of references. Final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account. Long papers will be presented orally or as posters as determined by the programme committee. Decisions as to which papers will be presented orally and which as posters will be based on the nature rather than the quality of the work. There will be no distinction in the proceedings between long papers presented orally and as posters.
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Short paper submissions must describe original and unpublished work. Short papers should have a point that can be made in a few pages. Examples of short papers are a focused contribution, a negative result, an opinion piece, an interesting application nugget, a small set of interesting results. Short papers may consist of up to four (4) pages of content, plus unlimited pages of references. Final versions of short papers will be given one additional page of content (up to 5 pages) so that reviewers’ comments can be taken into account. Short papers will be presented orally or as posters as determined by the programme committee. While short papers will be distinguished from long papers in the proceedings, there will be no distinction in the proceedings between short papers presented orally and as posters.
Multiple submission policyPermalink
HumEval’23 allows multiple submissions. However, if a submission has already been, or is planned to be, submitted to another event, this must be clearly stated in the submission form.
Submission procedure and templates
To submit, go directly to the workshop page at the Softconf START system https://softconf.com/ranlp23/HumEval/
The papers should follow the format of the main conference, described at the RANLP website, Submissions page. http://ranlp.org/ranlp2023/index.php/submissions/
Anya Belz, ADAPT Centre, Dublin City University, Ireland
Maja Popović, ADAPT Centre, Dublin City University, Ireland
Ehud Reiter, University of Aberdeen, UK
João Sedoc, New-York University
Craig Thomson, University of Aberdeen, UK
For questions and comments regarding the workshop please contact the organisers at email@example.com.