Introduction to Natural Language Processing
General Information
| Lecturer: | Dr. Magdalena Wolska, Prof. Dr. Benno Stein |
| Lab Advisor: | Matti Wiegmann |
| Workload: | 4.5 ECTS, 2 SWS Lecture, 1 SWS Lab |
| Lecture: | Thursday 9:15-10:45 |
| Lab: | Friday 13:30-15:00 |
| Exam Admission: | 66% of the points from the assignments |
| Examination: | 50% exam 50% project Exam mode and date will be announced |
| Moodle: | https://moodle.uni-weimar.de/course/view.php?id=20956 |
Lecturenotes
Natural Language Processing > Introduction > Organization, Literature Natural Language Processing > Introduction > NLP Problems Natural Language Processing > Introduction > Basics of Linguistics (preliminary) Natural Language Processing > Corpus Linguistics > Introduction to Corpora Natural Language Processing > Corpus Linguistics > Text Statistics Natural Language Processing > Corpus Linguistics > Text Annotation (preliminary) Natural Language Processing > Words > Text Preprocessing Natural Language Processing > Words > Morphological Analysis Natural Language Processing > Words > Word Classes (preliminary) Natural Language Processing > Syntax > Grammar and Parsing (preliminary) Natural Language Processing > Semantics > Semantics (preliminary)
Lab Class
The lab class consists of 5 assignments. All mandatory exercises and submission deadlines are noted in the assignment sheet. Submission in groups of up to 3 students is encouraged. Deadline for submission is always midnight CEST.
- 08.05.2020: Assignment Corpus Linguistics published.
- 28.05.2020: Assignment Corpus Linguistics due.
- 28.05.2020: Assignment Words published.
- 11.06.2020: Assignment Words due.
- 11.06.2020: Assignment Syntax published.
- 25.06.2020: Assignment Syntax due.
- 25.06.2020: Assignment Semantics published.
- 09.07.2020: Assignment Semantics due.
- 09.07.2020: Assignment Pragmatics published.
- 23.07.2020: Assignment Pragmatics due.
- 31.07.2020: Exam Preparation Q&A [admission]
Please create one .pdf file for your submission with all solutions. If your submission contains code, compress the .pdf with the solutions and all code-files into one .zip file. Upload you submission .pdf or .zip to moodle.
Naming scheme for the submission: <last name>-<matriculation number>-nlp-assignment<number>.pdf. Example: meier-11711-schulz-11712-nlp-assignment3.pdf.
Literature
Please find the literature in the script.