Milestones in Machine Learning and Language: Historical Readings

Hi all,

A big thank you to everyone who participated in the seminar!

If you would like to share feedback, please complete the Qualis Evaluation using the link below:
https://qualis.uni-saarland.de/eva/?l=161402&p=cm7ghm
The evaluation closes on 28 January 2026.

I would also like to remind everyone to register on LSF for the version of the seminar for which you would like to receive credits.

• For those opting for the 7-credit version, the deadline for submitting your seminar paper is 30 March 2026.

Regarding the choice of seminar paper topics, please refer to the following link:
https://lacoco-lab.github.io/courses/classics-25/#final-papers-for-the-7-cp-version

If you have any questions, feel free to email me.

Thanks once again to everyone, and best of luck with the exam season!

Best regards,
Yash

Hello everyone,

No-one actually posted any questions on the Forum for a possible background session tomorrow. 
So, we will skip this session, and directly meet on the 17th December to discuss the paper by Mark Gold.
Looking forward to discussing the papers from the 2nd half of the seminar with all of you.

Best,
Yash 

Hello everyone, 

I’m a bit sick and won’t be able to make it to campus today. As a result, our planned session will be held online instead of in person.
Here' the link to join the seminar session : Milestones in Machine Learning: Theme 3 | Meeting-Join | Microsoft Teams

I'm looking forward to the presentations and our discussions today.
Please spread the word around to others in case someone doesn't check their emails. 
Thank you for your understanding, and I apologize for the short notice.

Best, 
Yash 

Hi everyone,

The online discussion forum for our seminar is now available. Apologies for the administrative delays in getting this set up.

Please register for the forum using the invitation link below: https://pantera.cs.uni-saarland.de/invites/E5p8m63wao
If you encounter issues with the link, you should also find a direct link or tab to the forum on the seminar's CMS page.

Once registered, please post your questions regarding the Theme 1 reading in this thread: https://pantera.cs.uni-saarland.de/t/questions-for-theme-1-computation-and-intelligence/

For Presenters (All Weeks): Please review the questions posted on the forum for your theme.
If possible, try to integrate some of them into your presentation.
Otherwise, we can address them during the discussion period of your talk.

Grading Note: Due to the delay, the questions for Theme 1 will not be graded. Grading for forum participation will begin with Theme 2.

Best, 
Yash 

Hi everyone, 

The schedule for the presentations are final. Please find them here: https://lacoco-lab.github.io/courses/classics-25/#schedule
For details about about how the presentations should be, look here: https://lacoco-lab.github.io/courses/classics-25/#presentations 

Looking forward to the first session on the 29th October. 
If you have any questions, please feel free to send me an email. 
A CMS forum page, for the seminar will be added soon for posting questions and answers. 

Best, 
Yash 

Hi everyone,

It's time to select your preferences for the paper presentations.
To help me assign topics that you are most interested in, please send me an email (ysarrof@lst.uni-saarland.de) with your choices by 4:00 PM on Monday, October 20, 2025. 
(If you have already sent the email, ignore this message). 

In your email, please provide a ranked list of the papers you would like to present.
It would also be helpful if you could mention any papers you would prefer to avoid.
My goal is to match everyone with one of their top choices.
However, if a particular paper is very popular, I will need to assign it randomly among the interested students.

Even if you have no preferences, please send me a quick email to let me know. This is important for ensuring everyone is assigned a topic.
I will finalize and post the presentation schedule by Wednesday, October 22, 2025, giving the first presenters a full week to prepare.

Best, 
Yash