1. Text Based Information Retrieval H02C8A Marie-Francine Moens Karl Gyllstrom Katholieke Universiteit Leuven Study points: 4 Language: English Periodicity: Taught in the second semester e-mail: sien.moens@cs.kuleuven.besien.moens@cs.kuleuven.be karl.gyllstrom@cs.kuleuven.be 2011-2012

2. Text Based Information Retrieval 2011-2012

3. Aims of the course: –Acquire the fundamental techniques for text based information retrieval and text mining –Learn to design, partially implement, and evaluate a text based information retrieval system –Acquire insights into current research questions –Illustrate with commercial applications (1 lesson: speaker of an international company)

4. Text Based Information Retrieval 2011-2012 E.g., retrieval models (algebraic, probabilistic, link-based), advanced representations (e.g., LSA, LDA), index structures,......

5. Text Based Information Retrieval 2011-2012 E.g., text categorization, information extraction, text clustering, summarization, cross-language and cross-media retrieval,...

6. Text Based Information Retrieval 2011-2012 Prerequisites Basic knowledge of: –Probability theory and statistics –Information theory –Linear algebra –(Machine learning)

7. Text Based Information Retrieval 2011-2012 Course material Course slides and exercise questions/solutions can be downloaded from the Toledo platform –http://toledo.kuleuven.be –Background literature

8. Text Based Information Retrieval 2011-2012 Evaluation An assignment (grading: 33.3%): Paper or programming assignment Available week 7 Solution is due week 16 A score of 50% or more is transferred to the September exam session Theory exam (grading: 33.3 %): Oral with written preparation, closed book. Exercise exam (grading: 33.3%): Written, open book.

9. Text Based Information Retrieval H02C8B Marie-Francine Moens Karl Gyllstrom Katholieke Universiteit Leuven Study points: 6 Language: English Periodicity: Taught in the second semester e-mail: sien.moens@cs.kuleuven.besien.moens@cs.kuleuven.be karl.gyllstrom@cs.kuleuven.be 2011-2012

10. See H02C8A Additional lectures and exercise session on: –Data structures and search techniques –Compression of textual data –Fusion and learning to rank Assignment = programming assignment: – Available week 7 – Solution of part 1 is due week 16 – Solution of part 2 is due week 21 Text Based Information Retrieval 2011-2012