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

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