https://github.com/smartdataanalytics/ma-inf-4221-nlp-seminar
MA-INF 4221: NLP Seminar (University of Bonn)
https://github.com/smartdataanalytics/ma-inf-4221-nlp-seminar
natural-language-processing nlp sda ubo university-course university-of-bonn
Last synced: about 2 months ago
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MA-INF 4221: NLP Seminar (University of Bonn)
- Host: GitHub
- URL: https://github.com/smartdataanalytics/ma-inf-4221-nlp-seminar
- Owner: SmartDataAnalytics
- Created: 2017-10-12T12:09:45.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2017-11-13T13:30:02.000Z (over 7 years ago)
- Last Synced: 2025-01-22T06:22:47.552Z (3 months ago)
- Topics: natural-language-processing, nlp, sda, ubo, university-course, university-of-bonn
- Homepage:
- Size: 5.86 KB
- Stars: 1
- Watchers: 12
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
MA-INF-4222-Seminar
Natural Language Processing Seminar (MA-INF 4222) :speech_balloon:
### Lecturer
- [Mohnish Dubey](http://sda.cs.uni-bonn.de/people/mohnish-dubey/) (main contact)
- [Diego Esteves](http://sda.cs.uni-bonn.de/people/diego-esteves/)
- [Prof.Dr. Jens Lehmann](http://sda.cs.uni-bonn.de/people/prof-dr-jens-lehmann/)
### Where? When?
AVZ III / Römerstr. 164 (Room a7)
### Overview :mag:
This Seminar is organised as follows:
- Choose the seminar topic
- Select 4 papers on the topic
- Mid Term Presentation in December (slots 5th and 12th December)
- Final Presenation in late January (slots 23rd and 30th January )
- Submit Report of 7-8 pages
#todo : Students please add your details on this [spreadsheet](https://docs.google.com/spreadsheets/d/1axbcSNH0B59cOWlHehb0ZkXGxcSJCkU8djLOFcEKyHo/edit#gid=0), access on request.
### Slides to refer
- [Introductory Slide](https://docs.google.com/presentation/d/1W9QAO-_2_430_gWh0n0o0NOcbh6JuQOnx5o_r5fCPr0/edit?usp=sharing)
- Refer the Slides for:
- Core Topics
- Get more Topic from list of conferences
- List of Conferences for research paper
- Timeline to follow
### Grading :chart_with_upwards_trend:
Grades for this Seminar will be assessed as follows:
- [x] Mid Term Presentation (20%)
- [x] Final Persenation (70%)
- [x] Report (10%)
[Smart Data Analytics (SDA Research)](http://sda.cs.uni-bonn.de/)
[University of Bonn](https://www.uni-bonn.de/the-university)
[Course web site](http://sda.cs.uni-bonn.de/teaching/nlp/)