Statistical Methods in Natural Language Processing
Automatic methods for natural language processing play an important role in any human-machine interaction applications and other tasks in artificial intelligence.This course deals with statistical methods that have been found most successful for many tasks in natural language processing.
| Type |
Dates/Rooms | Start | Instructor |
|---|---|---|---|
| V4 | Mo 10:00 - 11:30 AH VI | 19.04.10 | Prof. Dr.-Ing. H. Ney |
| Mi 10:00 - 11:30 AH V | |||
| Ü2 | Mo 14:00 - 15:30 Room 6124 | 26.04.10 | Prof. Dr.-Ing. H. Ney, D. Stein M. Huck |
Contents
- Text and document classification including information retrieval
- Information extraction including tagging and semantic annotation
- Syntactic analysis and parsing
- Language modeling
- Machine translation of natural language
Lecture Notes (Access only permitted within the RWTH domain)
- Slides
Announcements
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14.06.10: Following schedule modification takes place:
- On Tuesday, 15.06.10, there will be an additional lecture in our seminar room (Room 6124), from 10:00 to 11:30.
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07.06.10: Please notice the following update on the lecture schedule:
- On Wednesday, the 09.06.10, there will be no lecture (DIES).
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29.05.10: Please notice the following update on the lecture schedule:
- Both lectures next week will take place at the regular dates.
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05.05.10: Following schedule modifications will take place:
- On Wednesday, 19.05.10, there will be no lecture.
- The announced additional lecture on Tuesday, 11.05.10, has been cancelled.
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03.05.10: Following schedule modifications take place:
- On Wednesday, 05.05.10, there will be no lecture.
- On Tuesday, 04.05.10, there will be an additional lecture in our seminar room (Room 6124), from 10:00 to 11:30.
- 27.04.10: Starting from Monday, May 3, the exercise hour is going to take place in our seminar room (Room 6124).
Exercises
- 0. Exercise Sheet
- 1. Exercise Sheet (Submission: May 3, 2010)
Additional data: alice.txt
Example solution for exercise 4: ex01.src.tgz - 2. Exercise Sheet (Submission: May 10, 2010)
- 3. Exercise Sheet (Submission: May 17, 2010)
Additional data: 20 Newsgroups Corpus, Spam Corpus
An example implementation of a multinomial classifier can be found here. - 4. Exercise Sheet (Submission: May 31, 2010)
- 5. Exercise Sheet (Submission: June 7, 2010)
Additional data: European Parliament Corpus
Example implementation of a bigram language model
- 6. Exercise Sheet (Submission: June 14, 2010)
- 7. Exercise Sheet (Submission: June 21, 2010)
Additional data: Wall Street Journal POS Corpus - 8. Exercise Sheet (Submission: June 28, 2010)
- 9. Exercise Sheet (Submission: July 5, 2010)
- 10. Exercise Sheet (Submission: July 19, 2010)
Additional data: Translation data
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Last Modified
14.06.2010
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