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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 submissionWritten 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 updateWritten 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 elgibilitiesWritten 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. |
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
- Introduction
- Natural Language as a Sequence of Symbols
- Basics of Language Modeling
- Entropy
- Backing-Off Language Modeling
- Text Classification
- Word Sense Disambiguation
- CRFs and Sequence Labeling
- Information Retrieval
- Machine Translation