Statistical Natural Language Processing
Vorlesung:
Leitung: Dietrich Klakow
Location: Seminarraum Building C7 2
Time: Fr 8.30 - 10 Uhr (can be shifted if all participants agree)
Starts: 25.04.2008
Geeignet für: M.Sc.
Exercises:
Tutor: Grzegorz Chrupala
Location and Time : Monday 16:15 in conference room 2.11
Starts: 19.5.2008
How does a search engine find the right web page? How can information be extracted from e-mails. The lecture will introduce statistical methods to process natural language. Also common themes like the design of classifiers will be treated.
The lecture covers the following topics:
- language processing: basic terms
- mathematical foundations
- word sense disambiguation
- part-of-speech tagging
- named-entity recognition
- statistical methods in information retrieval
- text classification
Note: in the first lecture, we decided on a revised list of topics. This new list can be found on the last slide of chapter 1.
Slides
Chapter 1: Overview pdf
Chapter 2 Natural Language pdf
Chapter 3 Basics of Language Modeling pdf
Chapter 4 Entropy pdf
Chapter 5 Backing-Off Language Models pdf
Chapter 6 Text Classification pdf
Chapter 7 Word Sense Disambiguation pdf
Chapter 8 Information Retrieval pdf
Chapter 9 Named Entity Tagging pdf
Chapter 10 Topic Detection and Tracking pdf
Exercises
Exercise 1
Exercise 2
Exercise 3
Exercise 4
Exercise 5
Exercise 6
Exercise 7
Exercise 8
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