Hi all,
As some of you have already noticed: You should now be able to see the
scores of your approaches on the test sets. Please tell me if not or not
all.
Thank you all for the participation! This has been a very exciting
challenge for us and now we are extremely curious at the approaches
behind the numbers! To help you in interpreting your results, we also
prepared a dataset description paper together with everyone who
contributed data (thank you so much!) [1].
Everything below is for next steps.
https://touche.webis.de/semeval23/touche23-web/index.html#important-dates
Every team who submitted at least one run on one test set is allowed to
submit a description paper to SemEval. You do not need to attend the
workshop for it to be published. You will only be asked to review papers
of a few other team. But this peer-review is only to ensure your
description is understandable. We aim for 100% acceptance rate.
To assist you in the process of writing the paper, we prepared a paper
template based on the hints and guidelines of SemEval. It is linked in
the Important Dates section on our web page. I also submitted it to
Overleaf (in case you use that), and will add a link there once it got
accepted as a template to their gallery.
Moreover, we prepared a LaTeX table for each participating team [2] that
you can integrate into your paper ("\input{table-results}"), showing
your own results and a few others for comparison. Since there are a lot
of numbers in this task, we hope using this table can save you some
time. But do not hesitate to adjust it to your needs, especially to name
your submitted runs.
You can also submit more runs. If you do, please tell me and I will
unblind the result for you, though I'll also try to unblind everything
new daily. But the current submissions (the ones you selected in case
you submitted more than 4) will form the official leaderboard. I will
create a version of it for the task web page today or tomorrow. Until
then you can have a look in TIRA.
As said in a previous mail: we also highly recommend to create and
submit Docker images with your approach, so that other researches can
use it easily.
That is it from our side for now. Please do not hesitate to contact us
in case of further questions or if you need some numbers on the dataset
or the submitted approaches to include in your paper.
Thank you again for participation and now for preparing your description
paper!
Johannes, Milad, Nellie, Maximilian, Nicolas, Henning, Benno
[1]
https://arxiv.org/abs/2301.13771
[2]
https://github.com/touche-webis-de/touche-code/tree/main/semeval23/human-value-detection/participant-tables
--
Johannes Kiesel
Bauhaus-Universität Weimar
Bauhausstr. 9a, Room 106
99423 Weimar, Germany
Phone:
+49 (0)3643 - 58 3720