Statistical Natural Language Processing

Dietrich Klakow

News

Exam Inspection

Written on 16.10.24 by Dietrich Klakow

Hi,

 

exam inspection will be on Monday October 28th

 

16:00-16:30  2558742 to 7025375

16:30-17:00 7028692 to 7047847

17:00-17:30 7047911 to 7058289

17:30-18:00 7058393 to 7063002

in room 1.17 in building C74 .

Please note that it will be an exam inspection! There will be… Read more

Hi,

 

exam inspection will be on Monday October 28th

 

16:00-16:30  2558742 to 7025375

16:30-17:00 7028692 to 7047847

17:00-17:30 7047911 to 7058289

17:30-18:00 7058393 to 7063002

in room 1.17 in building C74 .

Please note that it will be an exam inspection! There will be nobody for discussion. If you believe to have found a grading mistake you have to open a ticket by sending a mail to: snlpss24@lsv.uni-saarland.de .

Grades

Written on 29.07.24 by Dietrich Klakow

Hi,

you can find the grades in:

https://cms.sic.saarland/snlp24/dl/34/Grades_2024.pdf

Some statistics on the exam:
           Q1      Q2      Q3       Q4     Q5     Q6      Q7      Q8     Sum
Min      0.0      0.0      0.0      0.0    0.0     0.0     0.0      0.0     8.0
Max    10.0   … Read more

Hi,

you can find the grades in:

https://cms.sic.saarland/snlp24/dl/34/Grades_2024.pdf

Some statistics on the exam:
           Q1      Q2      Q3       Q4     Q5     Q6      Q7      Q8     Sum
Min      0.0      0.0      0.0      0.0    0.0     0.0     0.0      0.0     8.0
Max    10.0    10.0    10.0    10.0    9.5    9.8    10.0    10.0    74.5
Median  6.0      5.8     6.0      6.5     5.3   3.4      6.0     3.0     41.1

So for each question there was at least one student who could not do it at all. However, for each question there was also at least one student who got it correct or in case of Q5 and Q6 nearly correct.

Q6 (sequence labeling)and Q8 (word embeddings) were the questions where most participants had problems.

Conversion from points to grades:
even though the best participant had 74.5 points we set the 100% to 63 points (fourth best participant). Pass-fail threshold is at 40%.

Best regards,

Dietrich on behalf of the grading team

Time

Written on 23.07.24 by Dietrich Klakow

Just a reminder: exam is tomorrow 14:00-16:00. Please be at the respective lecture hall at 13:40 latest.

 

Exam: lecture hall and cover sheet

Written on 22.07.24 by Dietrich Klakow

Hi,

 

in the materials section in "other" you can find:

* the cover sheet of the exam

* a list of matriculation numbers an the lecture hall in which your exam is taking place (exam will be in GHH and Math)

 

Best regards,

 

Dietrich Klakow

Exam Registration

Written on 16.07.24 by Monseej Purkayastha

Hi all,

Final assignment grades are now available. If your status in the CMS Personal Status section shows "passed," you are eligible for the exam. Please register for the exam in HISPOS/LSF if you have not already done so, in case you plan on sitting for the exam.

Note: The CMS criterion does… Read more

Hi all,

Final assignment grades are now available. If your status in the CMS Personal Status section shows "passed," you are eligible for the exam. Please register for the exam in HISPOS/LSF if you have not already done so, in case you plan on sitting for the exam.

Note: The CMS criterion does not apply to students eligible from the past iteration of the course (SS 2023); you can directly register in HISPOS/LSF.

Best,
Your SNLP Tutors

 

 

Exam topics

Written on 12.07.24 by Dietrich Klakow

Just because I have been asked: in the exam there can be more than one question for bigger chapters.

And: what I have said on Wednesday was a look ahead based on the present state of the exam preparation. A more specific statement about the number of questions can only be made a few days before the exam.

Exam eligibility

Written on 11.07.24 by Monseej Purkayastha

Hi all,

We have updated the settings in CMS to show "passed" for those who are already eligible to sit for the exam. If this shows up in your "Personal Status" section in CMS, we urge you to register for the exam in HISPOS/LSF.

For your information, the cutoff for the exam is 67.

For those… Read more

Hi all,

We have updated the settings in CMS to show "passed" for those who are already eligible to sit for the exam. If this shows up in your "Personal Status" section in CMS, we urge you to register for the exam in HISPOS/LSF.

For your information, the cutoff for the exam is 67.

For those who still aren't eligible, please recheck in case any of your previous submissions are ungraded and get back to us. There's also still Assignment 10 left in case you need to score more points.

 

Best,

Your SNLP tutors

Ungraded Assignments

Written on 10.07.24 (last change on 10.07.24) by Monseej Purkayastha

Hello all,

If anyone's Assignment submissions till Assignment 7 are not graded, or your grades don't show up in CMS; send us an email so that we can have a look.

Also whoever has already met the eligibility criteria for the exam, please register on HISPOS/LSF so that you can sit for the… Read more

Hello all,

If anyone's Assignment submissions till Assignment 7 are not graded, or your grades don't show up in CMS; send us an email so that we can have a look.

Also whoever has already met the eligibility criteria for the exam, please register on HISPOS/LSF so that you can sit for the exam.

Your SNLP tutors

 

Exam registration

Written on 04.07.24 by Dietrich Klakow

Don't forget your HISPOS/LSF exam registration!

Assignment 8 released!

Written on 24.06.24 by Divya Mani Adhikari

Hi everyone,

 

Assignment 8 is out now. The deadline is on July 1st.

 

Best,

Your Tutors

Assignment 7 Released

Written on 17.06.24 by Philipp Jonas Hawlitschek

Hi everyone,

 

Assignment 7 will be released at 6 PM. The deadline is on June 24th.

 

Best,

Your Tutors

Assignment 6 Released

Written on 10.06.24 by Monseej Purkayastha

Hi everyone,

Assignment 6 has been released. Please note that you have a timeline of 1 week to complete it, i.e. the deadline is on 17th June.

Best,

Your SNLP tutors

Assignment 5 is out now!

Written on 03.06.24 by Divya Mani Adhikari

Hi everyone,

 

Assignment 5 is out now. The deadline is the 10th of June.

 

Best,

Tutors

Forum running again

Written on 27.05.24 by Dietrich Klakow

Hi, the CS sysadmins have fixed the forum. Regards, Dietrich Klakow

Assignment 4 Released

Written on 27.05.24 by Philipp Jonas Hawlitschek

Hi everyone,

assignment 4 has been released. The deadline is on June 3rd. We hope that the forum will be revived in the meantime.

Best,
Your SNLP tutors

Forum broken

Written on 24.05.24 by Dietrich Klakow

As mentioned in the lecture on Wednesday, the forum is broken at the moment. I had reported it already on Wednesday but no response so far.

Teams Link for Tutorial slot 3 (Thursday)

Written on 23.05.24 by Monseej Purkayastha

Hi Everyone,

Due to some technical difficulties, I'll be sharing my screen via Teams for the tutorial session today.

Please join using the below link:
… Read more

Hi Everyone,

Due to some technical difficulties, I'll be sharing my screen via Teams for the tutorial session today.

Please join using the below link:
https://teams.microsoft.com/l/meetup-join/19%3ameeting_YzM3ZmE5MDItN2FkMi00MjZmLWE5MGItMGU3YzFmOTVjMzIw%40thread.v2/0?context=%7b%22Tid%22%3a%2267610027-1ac3-49b6-8641-ccd83ce1b01f%22%2c%22Oid%22%3a%22c41ecae6-cb71-45d7-9ce8-3e33e8ed91f8%22%7d

Regards,

Monseej Purkayastha

Assignment 3 Released

Written on 20.05.24 by Monseej Purkayastha

Hi everyone,

Assignment 3 has been released. Please note that you have a timeline of 1 week to complete it, i.e. the deadline is on 27th May. Also, we've seen that you're still working on creating your 3-person teams, so we've reset the team groupings for this assignment; you have to re-register… Read more

Hi everyone,

Assignment 3 has been released. Please note that you have a timeline of 1 week to complete it, i.e. the deadline is on 27th May. Also, we've seen that you're still working on creating your 3-person teams, so we've reset the team groupings for this assignment; you have to re-register your teams in CMS for this assignment.

Best,

Your SNLP tutors

 

Update to Assignment 2

Written on 18.05.24 by Divya Mani Adhikari

The function used in Bonus 1 (Rejection sampling) was wrong. It should've been model.rejection_sample() instead of model.random_sample(). Simply correcting the function name should be sufficient without changing your other solutions.

Huggingface tutorial notebook is available now.

Written on 17.05.24 by Divya Mani Adhikari

Hi Everyone,

We have uploaded the tutorial notebook on Hugging Face. This is just an introductory notebook to help you get familiar with the syntax and commands when using models and datasets from Hugging Face. We have also linked some more tutorials and blogs at the end in case you want to dig… Read more

Hi Everyone,

We have uploaded the tutorial notebook on Hugging Face. This is just an introductory notebook to help you get familiar with the syntax and commands when using models and datasets from Hugging Face. We have also linked some more tutorials and blogs at the end in case you want to dig deeper.

 

Best,

Your SNLP tutors

Assignment 2 update

Written on 16.05.24 by Divya Mani Adhikari

The updated assignment 2 simply fixes the sample() function in the MillersModel. This shouldn't affect your existing solution so you can simply copy the new exercise_3.py file and add your existing solution for computing the perplexity.

Tuesday Tutorial Screen Share Meeting

Written on 14.05.24 by Philipp Jonas Hawlitschek

Since there is no HDMI adapter in the seminar room, here is the link to join the screen share in… Read more

Since there is no HDMI adapter in the seminar room, here is the link to join the screen share in Teams:

https://teams.microsoft.com/l/meetup-join/19:meeting_ZTlmNzEwZDctM2NhMy00NDI1LTljM2YtMDlkMjNkNTczZTRl@thread.v2/0?context=%7B%22Tid%22:%2267610027-1ac3-49b6-8641-ccd83ce1b01f%22,%22Oid%22:%22addf4bc8-037d-4ee8-a72e-c510a5fd8724%22%7D

Assignment 2 is out now!

Written on 08.05.24 by Divya Mani Adhikari

Assignment 2 is out now. Please remember that from this assignment onwards you can work in a team of 3.

Groups for homework submission

Written on 03.05.24 by Dietrich Klakow

Hi,

 

as of assignment 2, you can submit your solutions in teams of 3 students.

 

Best regards,

 

Dietrich Klakow

Assignment 1 update

Written on 02.05.24 by Philipp Jonas Hawlitschek

Hey all, I just want to let everybody know of the updated version of assignment 1 ("rev 3"). The most important change is the corrected formula in exercise (3.1) from rev 2. The other changes are not as crucial for a perfect solution. If anything remains unclear, go ahead and ask inside the forum.… Read more

Hey all, I just want to let everybody know of the updated version of assignment 1 ("rev 3"). The most important change is the corrected formula in exercise (3.1) from rev 2. The other changes are not as crucial for a perfect solution. If anything remains unclear, go ahead and ask inside the forum. Good luck with your homework!

Start of Tutorials/Past elgibilities

Written on 25.04.24 by Dietrich Klakow

Start of Tutorials: first assignment will come out on Monday April 29th with a due date May 6th Tutorials will start after May 13th.

Past eligibility: if you have participated in the lecture last year and obtained eligibility last year, you don’t have to pass the threshold again this year. However,… Read more

Start of Tutorials: first assignment will come out on Monday April 29th with a due date May 6th Tutorials will start after May 13th.

Past eligibility: if you have participated in the lecture last year and obtained eligibility last year, you don’t have to pass the threshold again this year. However, as some exam questions may be based on this year's assignments, it still is good to do them to practice and learn.
Show all

Statistical Natural Language Processing

Location: E13, HS 1

Time: Wednesday 14:15-15:45
Starts: April 24th

Suitable for: CS, DSAI, CuK, ES, CoLi, Visual Computing

  1. Introduction
  2. Natural Language as a Sequence of Symbols
  3. Basics of Language Modeling
  4. Entropy
  5. Backing-Off Language Modeling
  6. Text Classification
  7. Word Sense Disambiguation
  8. CRFs and Sequence Labeling
  9. Information Retrieval
  10. Machine Translation
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