====== Courses and Tutorials on DSM  ======

**Course materials** –
[[course:esslli2009:start|ESSLLI 2009]] –
[[course:acl2010:start|NAACL-HLT 2010]] –
[[course:esslli2018:start|ESSLLI '16 & '18]] –
[[course:esslli2021:start|ESSLLI '21 & '22]] –
[[course:fribourg2026:start|U Fribourg 2026/27]] –
[[course:material|Software & data sets]] –
[[course:bibliography|Bibliography]]



===== Course materials =====

This page contains the most up-to-date version of the course **slides**, example **scripts**, and **exercises**. Previous instantiations of the course (e.g. at ESSLLI summer schools) may have used older versions of the slides, focused on specific topics, or contained additional specialised material not included in the master version.

All teaching materials are made available under a **CC-by-sa** license and can be obtained from the **[[https://r-forge.r-project.org/projects/wordspace/|wordspace repository]]** on R-Forge.\\
{{:icon_warn.png?nolink&20|}} There are currently issues with access to R-Forge being blocked due to repeated cyber attacks. If these continue, the wordspace repository will be migrated to GitHub or another software development platform. 

==== Part 1: Introduction ====

[[http://www.collocations.de/data/dsm_tutorial_part1.slides.pdf|presentation slides]] (PDF, 2.2 MB) – [[http://www.collocations.de/data/dsm_tutorial_part1.handout.pdf|handout]] (PDF, 2.1 MB) – R code: [[http://www.collocations.de/data/hands_on_part1.R|hands_on_part1.R]]

  * motivation and geometric intuition
  * distributional vs. semantic similarity
  * hands-on: //software setup, first steps with the ''wordspace'' package//

==== Part 2: The parameters of a DSM ====

[[http://www.collocations.de/data/dsm_tutorial_part2.slides.pdf|presentation slides]] (PDF, 1.3 MB) – [[http://www.collocations.de/data/dsm_tutorial_part2.handout.pdf|handout]] (PDF, 1.0 MB) – R code: [[http://www.collocations.de/data/hands_on_part2.R|hands_on_part2.R]] – load your own data: [[http://www.collocations.de/data/hands_on_part2_input_formats.R|hands_on_part2_input_formats.R]]

  * formal definition of a DSM, taxonomy of parameters
  * collecting co-occurrence data: what counts as a context?
  * mathematical operations on DSM vectors
  * computing distances/similarities
  * hands-on: //building DSMs and exploring different parameter settings//

==== Part 3: Evaluation of DSM similarity ====

[[http://www.collocations.de/data/dsm_tutorial_part3.slides.pdf|presentation slides]] (PDF, 3.1 MB) – [[http://www.collocations.de/data/dsm_tutorial_part3.handout.pdf|handout]] (PDF, 2.2 MB) – R code: [[http://www.collocations.de/data/hands_on_part3.R|hands_on_part3.R]] – extended exercise: [[http://www.collocations.de/data/hands_on_part3_extended.R|hands_on_part3_extended.R]]

  * goals & principles of DSM evaluation
  * standard evaluation tasks (multiple choice, correlation, clustering)
  * narrowing down similarity: classifying semantic relations
  * systematic large-scale evaluation & its interpretation
  * hands-on: //evaluation of selected tasks//

==== Part 4 ====


==== Part 5 ====

<!--

=== Day 3: Which aspects of meaning does a DSM capture? ===

[[http://wordspace.collocations.de/lib/exe/fetch.php/course:esslli2021:esslli2022_part3.slides.pdf|presentation slides]] (PDF, 3.2 MB) –
[[http://wordspace.collocations.de/lib/exe/fetch.php/course:esslli2021:esslli2022_part3.handout.pdf|handout]] (PDF, 2.9 MB) –
R code: [[http://wordspace.collocations.de/lib/exe/fetch.php/course:esslli2021:hands_on_day3_exercise_1.R|hands_on_day3_exercise_1.R]], [[http://wordspace.collocations.de/lib/exe/fetch.php/course:esslli2021:hands_on_day3_exercise_2.R|hands_on_day3_exercise_2.R]]


=== Day 4: DS beyond NLP – Linguistic theory ===

[[http://wordspace.collocations.de/lib/exe/fetch.php/course:esslli2021:esslli2022_part4.slides.pdf|presentation slides]] (PDF, 3.6 MB) –
[[http://wordspace.collocations.de/lib/exe/fetch.php/course:esslli2021:esslli2022_part4.handout.pdf|handout]] (PDF, 3.5 MB) –
R code: [[http://wordspace.collocations.de/lib/exe/fetch.php/course:esslli2021:hands_on_day4.R|hands_on_day4.R]] –
bonus material: [[http://www.collocations.de/data/esslli2021/schuetze1998.R|schuetze1998.R]]


  * linguistic exploitation of DSM representations
  * a textbook challenge for DSMs: polysemy
  * success stories: semantic compositionality, morphological transparency, argument structure
  * issues: not all words have a distributional meaning
  * practice: //different exercises with linguistic data sets//

=== Day 5: DS beyond NLP – Cognitive modelling ===

[[http://wordspace.collocations.de/lib/exe/fetch.php/course:esslli2021:esslli2022_part5.slides.pdf|presentation slides]] (PDF, 1.6 MB) –
[[http://wordspace.collocations.de/lib/exe/fetch.php/course:esslli2021:esslli2022_part5.handout.pdf|handout]] (PDF, 1.4 MB) –
R code: [[http://wordspace.collocations.de/lib/exe/fetch.php/course:esslli2021:hands_on_day5.R|hands_on_day5.R]] –
bonus task: [[http://www.collocations.de/data/CogALex4.rda|CogALex4.rda]] (0.2 MB) –
bonus material: [[http://wordspace.collocations.de/lib/exe/fetch.php/course:esslli2021:hands_on_day5_matrix_factorization.R|hands_on_day5_matrix_factorization.R]] 

  * DSMs for cognitive modelling
  * free association norms as a window into the mental lexicon
  * predicting free associations with DSMs
  * practice: //combining DSMs with first-order co-occurrence for the FAST task//

-->

==== General information ====

  * [[course:material|Software & data sets]]
  * [[course:bibliography|Bibliography & links]]