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.be
karl.gyllstrom@cs.kuleuven.be
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
2011-2012
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.be
karl.gyllstrom@cs.kuleuven.be
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