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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: [email protected]
2011-2012
Text Based Information Retrieval 2011-2012
Text Based Information Retrieval 2011-2012
• 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)
Text Based Information Retrieval 2011-2012
E.g., retrieval models (algebraic, probabilistic, link-based), advanced representations (e.g., LSA, LDA), index structures, ......
Text Based Information Retrieval 2011-2012
E.g., text categorization, information extraction, text clustering, summarization, cross-language and cross-media retrieval, ...
Text Based Information Retrieval 2011-2012
Prerequisites
• Basic knowledge of: – Probability theory and statistics– Information theory– Linear algebra– (Machine learning)
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
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.
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: [email protected]
2011-2012
• 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