392197 Statistical Natural Language Processing (S) (WiSe 2013/2014)

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This seminars involves the creation of effective systems for the processing of text by means of statistical methods. There will be significant challenge in integrating these components into a scalable system that can handle the large amount of data required to obtain high accuracy. In addition to the technical challenges in this course, the students will be required to read recent research papers related to the task and integrate these results into their solutions.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
wöchentlich Do 10-12 V2-234 14.10.2013-07.02.2014

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Subject assignments

Module Course Requirements  
23-LIN-BaLin1-Inf Einführung Linguistik für Informatik-Studierende Veranstaltung aus dem Bereich angewandte Computerlinguistik Study requirement
Student information
39-Inf-SNLP Statistical Natural Language Processing (Project-) Seminar Statistical Natural Language Processing Student information
- Graded examination Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Intelligente Systeme / Master (Einschreibung bis SoSe 2012) Vertiefung Intelligente; Computational Semantics; Kognitionswissenschaftliche Gr Wahlpflicht 1. 3. 5 alt. Seminar 23-LIN-BaLin1-Inf  
Linguistik: Kommunikation, Kognition und Sprachtechnologie / Master (Einschreibung bis WiSe 19/20) 23-LIN-MaCL2   3  
Naturwissenschaftliche Informatik / Master (Einschreibung bis SoSe 2012) Computational Semantics; Vertiefung Informatik I Wahlpflicht 1. 3. 5  

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Registered number: 9
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WS2013_392197@ekvv.uni-bielefeld.de
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2 Students to be reached directly via email
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Last update basic details/teaching staff:
Friday, December 11, 2015 
Last update times:
Thursday, October 24, 2013 
Last update rooms:
Thursday, October 24, 2013 
Type(s) / SWS (hours per week per semester)
Seminar (S) / 2
Department
Technische Fakultät
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39552495