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

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: 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