[Corpora-List] Call for papers: 1st Workshop on Evaluating NLG Evaluation, collocated with INLG2020 (Online conference)

C.W.J. van Miltenburg C.W.J.vanMiltenburg at tilburguniversity.edu
Tue Aug 4 10:18:31 CEST 2020

[apologies for cross-posting]

Website: https://evalnlg-workshop.github.io/

Workshop overview: ---------------------------------------------------------------------- This workshop is intended as a discussion platform on the status and the future of the evaluation of Natural Language Generation systems. Among other topics, we will discuss current evaluation quality, human versus automated metrics, and the development of shared tasks for NLG evaluation. The workshop also involves an ‘unshared task’, where participants are invited to experiment with evaluation data from earlier shared tasks.

Important dates: ---------------------------------------------------------------------- Call for workshop papers or abstracts - July 20, 2020 Submissions due - September 20, 2020 Notification of acceptance - October 20, 2020 Camera ready papers due - November 20, 2020 Workshop: December 18, 2020

Papers: ---------------------------------------------------------------------- We encourage a range of papers ranging from commentary and meta-evaluation of existing evaluation strategies to the suggestion of new metrics. We specifically place emphasis on the methodology and linguistic aspects of evaluation. We invite papers on any topic related to the evaluation of NLG systems, including (but not limited to):

* Qualitative studies, definitions of evaluation metrics (e.g., readability, fluency, semantic correctness)

* Crowdsourcing Strategies, qualitative tests for crowdsourcing (How to elucidate evaluation metrics?)

* Looking at individual differences and cognitive biases in human evaluation (expert vs. non-expert, L1 vs L2 speakers)

* Best practices for system evaluations (How does your lab choose models?)

* Qualitative study/error analysis approaches

* Demo: Systems that make the evaluation easier

* Comparison of metrics across different NLG tasks (captioning, data2text, story generation, summarization…) or different languages (with a focus on low-resource languages)

* Evaluation surveys

* Position papers and commentary on trends in evaluation

We encourage the submission of “task proposals”, where authors can propose shared tasks for next year’s edition of the workshop.

Unshared Task: ---------------------------------------------------------------------- This year’s edition also features an unshared task: rather than working towards a specific goal, we encourage participants to use a specific collection of datasets, for any evaluation-related goal. For example: comparing a new evaluation method with existing ratings, or carrying out a subset analysis. This allows us to put the results from previous shared tasks in perspective, and helps us develop better evaluation metrics for future shared tasks. Working on the same datasets allows for more focused discussions at the workshop.

Datasets for this year’s edition are existing datasets with system outputs and human ratings. Participants may use any of these for their unshared task submission:

* E2E NLG Challenge (http://www.macs.hw.ac.uk/InteractionLab/E2E/)

* WebNLG Challenge 2017 (https://webnlg-challenge.loria.fr/challenge_2017/)

* Surface Realization Shared Task (SRST) 2019 (http://taln.upf.edu/pages/msr2019-ws/SRST.html)

Submission Formats: ----------------------------------------------------------------------

* Archival papers (up to 8 pages excluding references; shorter submissions are also welcome)

* Non-archival abstract of papers within the topic accepted somewhere else or under submission at the main INLG 2020 (1-2 pages)

* Demo papers (1-2 pages)

Organizers: ---------------------------------------------------------------------- Shubham Agarwal Ondrej Dusek Sebastian Gehrmann Dimitra Gkatzia Ioannis Konstas Emiel van Miltenburg Sashank Santhanam Samira Shaikh

Contact: evalnlg.inlg at gmail.com<mailto:evalnlg.inlg at gmail.com>

-------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 25316 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20200804/958e2501/attachment.txt>

More information about the Corpora mailing list