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| course:slides [2026/09/28 23:25] – [Course materials] schtepf | course:slides [2026/10/01 02:03] (current) – [Part 3: Evaluation of DSM similarity] schtepf |
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| {{: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. | {{: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. |
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| ==== Unit 1 ==== | ==== Part 1: Introduction ==== |
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| | [[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]] |
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| ==== Unit 2 ==== | * 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 ==== |
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| | [[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]] |
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| | * 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]] |
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| | * 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 ==== |
| | |
| | <!-- |
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| | === 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]] |
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| | |
| | === 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]] |
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| | |
| | * 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// |
| | |
| | --> |
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| ==== General information ==== | ==== General information ==== |
