SoSe 21: Project Seminar: NLP in Action
Christoph Schommer
Comments
Natural language processing is one of the most important aspects of AI in general. This is not only due to new scientific ideas and findings, innovative achievements and novel applications, but also in terms of Machine Learning and, particularly, Deep Learning. Examples are in the context of chatbot technology, in translation systems, sentiment recognition, topic modelling, finding the right information through search engines and much more.
The seminar "NLP in Action" is a follow-up course to the 4-hour lecture "Natural Language Processing", which took place in the last winter semester. The content of the seminar is practical work on a project that is announced at the beginning of the course. In small but independent teams, the project idea will first be presented and then implemented. The course concludes with a public workshop at the end of the course.
The course takes in place in English Language. A successful participation in the Natural Language Processing course is recommended, but not mandatory.
Deliverables:
- a) Implementation of the project topic and presentation at the final Workshop
- b) Executive Summary of up to 1200 words (without title, references)
Evaluation:
2/3 Presentation + 1/3 Executive Summary
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Suggested reading
Selected literature:
- David Jurafsky, James Martin: "Speech and Language Processing".
Source: see https://web.stanford.edu/~jurafsky/slp3/ - The Natural language Toolkit. Source: http://www.nltk.org/
- J. Allen: Natural Language Understanding (Pearson)
- C. Manning, H. Schütze: Foundations of Statistical Natural Language Processing (MIT Press)
- S. Russel, P. Norvig: Artificial Intelligence, A Modern Approach (Pearson)
13 Class schedule
Regular appointments