IMPORTANT: No exercise session on Nov 22

Dear students, 

Due to the illness of the lecturer, there will be no exercise session held today (Nov 22) at 13.45. We will make up for it next Wednesday.  

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Course Description

In the digital age, techniques to automatically process textual content have become ubiquitous. Given the breakneck speed at which people produce and consume textual content online – e.g., on micro-blogging and other collaborative Web platforms like wikis, forums, etc. – there is an ever-increasing need for systems that automatically understand human language, answer natural language questions, translate text, and so on. This class will provide a complete introduction to state-of-the-art principles and methods of Natural Language Processing (NLP). The main focus will be on statistical techniques, and their application to a wide variety of problems. This is because statistics and NLP are nowadays highly intertwined, since many NLP problems can be formulated as problems of statistical inference, and statistical methods, in turn, represent de-facto the standard way to solve many, if not the majority, of NLP problems. Covered topics a include a complete introduction to all major sub-fields of NLP (syntax, semantics, etc.), as well as applications (e.g., Machine Translation).

Course Details

Time and Location

  • Lecture: Tuesday 15:30 - 17:00 @ B 6 23-25, Bauteil A, Room A101.
  • Exercise sessions: Wednesday 13:45-15:15 @ B 6 23-25, Bauteil A, Room A101.
  • NOTE: the course starts on Tuesday 5.9!

Grading / Evaluation

  • 100% final exam

Instructors

Registration

  • The course is open to students of the Master Business Informatics, Mannheim Master in Data Science (MMDS) and Mannheim Master in Business Research (MMBR) Information Systems.
  • The course is restricted to 80 participants.
  • Registration will be opened Monday, September 4th 2017, 10:15 am.
  • Registration is done via ILIAS using this link (activated once the registration is open)
  • Allocation of places is done by FCFS (limit 80 students)

Course materials and up-to-date information can be found in our ILIAS group (accessible only after successful registration)

Textbooks

D. Jurafsky, J. H. Martin. Speech and Language Processing: An Introduction to Natural Language Processing, Speech Recognition, and Computational Linguistics (2nd ed.), Prentice-Hall, 2009.

C. Manning and H. Schütze, Foundations of Statistical Natural Language Processing, MIT Press. Cambridge, MA: May 1999.