thank you for your submissions! reviewing to start by Fri Feb 26.

[Ted Pedersen]

Thank you for your submissions! We will start the reviewing process in
the next day or two. Each submitting author will be assigned 2 papers
to review. The deadline for reviews is Tuesday, March 16.

Reviews are anonymous, and paper authors will receive their reviews.
As such, please be constructive in your comments. Overall your goal as
a reviewer should be to give the paper authors feedback that will
allow them to improve the final version of their paper.

When you are reviewing the other system description papers, please ask
yourself if you are understanding the approach well enough to
potentially reproduce these results (or nearly so). If you find there
are important points missing that might prevent this, please mention
these in your reviews.

In addition, do the authors go into the "why" of their system results.
Beyond the algorithms used and the scores achieved, do the authors
discuss under what situations the method worked well (and potentially
didn't)? If not, try to point the authors to aspects of their results
that might benefit from this kind of discussion.

You might also find it helpful to look at the SemEval template for
system description papers, and note any areas mentioned there not
included in a paper you are reviewing:

https://semeval.github.io/system-paper-template.html

You will be getting an email from START in the next day or two with
reviewing assignments. Reviews are due Tue Mar 16, and we will be
making notifications to authors about paper acceptance on Mon Mar 29.
Note that the final camera ready versions of your papers are due Mon
Apr 5, so in addition to your official reviewing it is probably a good
idea to re-read your submitted paper and start to make any changes you
think necessary even before you get back reviews (since there is just
one week between notifications and the camera ready deadline).

Please feel free to ask any questions you may have, and we again
appreciate your participation in the task, and are looking forward to
this next stage of the process.

Cordially,
Ted (on behalf of the NLP Contribution Graph shared task organizers)
---
Dr. Ted Pedersen
http://www.d.umn.edu/~tpederse