Schedule and course plan

Period 3 Where and When Activity Reading Examination January 1913.15-15.00V2 Lecture 1: Introduction, boolean retrieval, course practicalitiesHedvig Kjellström Manning Chapter 1 January 2210.15-12.00D3 Lecture 2: Term vocabulary, dictionaries and tolerant retrievalJohan Boye Manning Chapter 2, 3 January 2613.15-15.00B3 Lecture 3: Evaluation of search enginesJussi Karlgren Manning Chapter 8 February 913.00-17.00Röd

17.00-18.00

Orange

Computer hall session Oral examination of Assignment 1 in front of computer February 1210.15-12.00D3 Lecture 4: IR Beyond one shot

Jussi Karlgren

Manning Chapter 9, Robertson

Read after Lecture 5

February 1613.15-15.00B1 Lecture 5: Scoring, weighting, vector space modelHedvig Kjellström

Manning Chapter 6, 7

Read before Lecture 4

February 2313.15-15.00B3 Lecture 6: Retrieval of documents with hyperlinksHedvig Kjellström Manning Chapter 21, Avrachenkov Sections 1-2 February 2410.15-12.00B3 Lecture 7: Probabilistic information retrieval, language modelsHedvig Kjellström Manning Chapter 11, 12 March 813.00-18.00Orange Computer hall session Oral examination of Assignment 2 in front of computer March 1110.15-12.00B1 Lecture 8: Some useful additions to a search engine, Random IndexingViggo Kann

SahlgrenManning Chapter 18 Period 4 Where and When Activity Reading Examination April 513.00-18.00

Orange

Computer hall session Oral examination of Assignment 3 in front of computer April 1213.15-14.00B1 Lecture 9: Guest lecture

Hercules Dalianis, SU

Clinical text retrieval - some methods and some applications

Electronic patient records contain a waste source of information, both in form of structured information as diagnosis codes, drug codes, lab values, time stamps, etc and unstructured in form of free text. Methods - both rule based and machine learning based for retrieving this information is presented. Applications as diagnosis codes assignment, hospital acquired infection detection and adverse drug event detection will be discussed.

April 2613.15-15.00M3 Lecture 10: Guest lectures

Roelof Pieters, Graph Technologies

Maria Skeppstedt, Gavagai

April 29¶

9.00-12.00¶

TBA¶

Extra computer hall session¶

May 313.15-15.00Q2 Lecture 11: Guest lectures

Boxun Zhang, Spotify

Anders Friberg, KTH

May 1013.15-15.00B3 Lecture 12: Guest lectures

Simon Stenström, Findwise

Magnus Rosell, FOI

May 2009.00-12.00Fantum, Lindstedtsv 24, floor 5 Project presentations Written report hand-inOral presentation in front of poster