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 | 14.04.08 | Prof. Dr.-Ing. H. Ney |
| Mi 10:00 - 11:30 AH V | |||
| Ü2 | Mo 14:00 - 15:30 AH III | 14.04.08 | Prof. Dr.-Ing. H. Ney, D. Vilar |
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 from WS05/06
Announcements
- 14.7.08: The lecture on Wednesday, 16. July 2008, will take place in our seminar room, as the room AHV is not available.
- 3.7.08: There will be an additional lecture on Tuesday, 8. July 2008 at 14:00 in our seminar room, in order to compensate with the missing lecture of wednesday 2. July.
- 18.6.08: There was a small mistake in the 8th exercise sheet. The pdfs have been updated.
- 8.5.08: The extra lectures next week will be held in the room AH V.
- 7.5.08: A solution for exercise 3a) of exercise sheet 2 has been published. The result is needed for the first exercise of sheet 3.
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Following days we will have additional lectures:
- 13 May 2008 (Tu): 10:00-11:30 and 13:00-14:30
- 14 May 2008 (We): 10:00-11:30
Update: The room will be AH V. - Important:
Folowing days there will be no main lecture:
- 21 May 2008 (We)
- 11 June 2008 (We, Dies)
- 23 June 2008 (Mon)
- 25 June 2008 (We)
- 21.4.08: We were not able to discuss exercise sheet 0 in the exercise hour. We will discuss them next week, but you can hand them in for some extra points
Exercises
- All exercise sheets in one file
- Single exercise sheets:
- 0. Exercise Sheet
The data used in the presentation about makefiles can be downloaded here. - 1. Exercise Sheet (Submission: 28 April 2008)
Additional data: alice.txt
Example solution for exercise 4: ex01.src.tgz - 2. Exercise Sheet (Submission: 5 May 2008)
Solution for exercise 3a) (with some annotations) - 3. Exercise Sheet (Submission: 19 May 2008)
Additional data: 20 Newsgroups Corpus, Spam Corpus
An example implementation of a multinomial classifier can be found here.
The confusion matrix for the 20 newsgroups data set is also available (with correct labels)
- 4. Exercise Sheet (Submission: 26 May 2008)
- 5. Exercise Sheet (Submission: 2 June 2008)
Additional data: European Parliament Corpus
Example implementation for exercise 4 - 6. Exercise Sheet (Submission: 9 June 2008)
- 7. Exercise Sheet (Submission: 16 June 2008)
Additional data: Wall Street Journal POS Corpus
Example implementation of a bigram-based POS tagger. - 8. Exercise Sheet (Submission: 23 June 2008)
Additional data: Arcturan-Centauri parallel corpus in a format suitable for drawing alignment links - 9. Exercise Sheet (Submission: 30 June 2008)
- 10. Exercise Sheet (Submission: 7 July 2008)
- 11. Exercise Sheet (Submission: 14 July 2008)
- 12. Exercise Sheet (Submission: Optional)
Additional data: Translation data
- 0. Exercise Sheet
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Last Modified
Tue Jul 15 11:38:21 CEST 2008
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