Babes-Bolyai University of Cluj-Napoca
Faculty of Mathematics and Computer Science
Study Cycle: Graduate
SUBJECT

Code	Subject	
MII0007	Technics for Information Retrieval	

Section	Sem.	Hours: C+S+L	Category	Type	
Computer Science - in Romanian	5	2+0+1	speciality	optional	

Teaching Staff in Charge	Lect. LUPSA Dana, Ph.D., dana@cs.ubbcluj.ro	
Aims	Information retrieval and natural language processing are now accepted to be some of the most studied and active field of Computer Science. This course will cover traditional material, as well as recent advances in intelligent Information Retrieval (IR). We will focus on the underlying retrieval algorithms and models. Information retrieval is closely related to the organization and description model of the information to be found; that is why the course also presents some techniques specific to natural language processing.
	
Content	1. Introduction: natural language processing (NLP) and information retrieval (IR).
2. Information in free text: linking syntax and semantics, semantic information; special attention to lexical semantics. Models for information representation.
3. Text properties; text processing. Statistic characteristics of texts, term weighting, classification algorithms with application to text classification.
4. File organization for IR.
5. Probabilistic models in NLP and IR.
6. Practical applications of IR techniques in NLP.
7. IR and World Wide Web.

Bibliography	1. J.ALLEN : Natural language understanding, Benjamin/Cummings Publ., 2nd ed., 1995. 
2. C.MANNING, P.RAGHAVAN, H.SCHÜTZE: Introduction to Information Retrieval, Cambridge University Press. 2007. http://www-csli.stanford.edu/~schuetze/information-retrieval-book.html
3. D.JURAFSKY, J.MARTIN: Speech and language processing, Prentice Hall, 2000.
4. C.J. van RIJSBERGEN: Information Retrieval, 1979
5. D.TATAR:  Inteligenta artificiala. Aplicatii in prelucrarea limbajului natural, Ed. Albastra, Microinformatica, 2003
	
Assessment	The final grade will be determined based on the following components: 
    final examination = 70%
    practical work = 30%
The practical work will be graded based on programs or projects developed during laboratory classes.

The requirements are posted here:
http://www.cs.ubbcluj.ro/~dana/IR/