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course:esslli2018:schedule [2018/08/07 13:03] schtepf [Schedule & handouts] |
course:esslli2018:schedule [2021/08/08 13:22] schtepf [Distributional Semantics – A Practical Introduction (ESSLLI 2016 & 2018)] |
[[course:bibliography|Bibliography]] | [[course:bibliography|Bibliography]] |
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| * extended version of part 2 practice: //input formats// (26.05.2019) |
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===== Schedule & handouts ===== | ===== Schedule & handouts ===== |
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=== Day 1: Introduction === | === Day 1: Introduction === |
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{{:course:esslli2018:dsm_tutorial_part1.slides.pdf|Presentation slides}} (PDF, 0.9MiB) – {{:course:esslli2018:dsm_tutorial_part1.handout.pdf|handout}} (PDF, 1.0 MiB) – {{:course:esslli2018:part1_examples.R|R code}} | {{:course:esslli2018:dsm_tutorial_part1.slides.pdf|Presentation slides}} (PDF, 1.1 MB) – {{:course:esslli2018:dsm_tutorial_part1.handout.pdf|handout}} (PDF, 0.9 MB) – {{:course:esslli2018:part1_examples.R|R code}} |
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* motivation and brief history of distributional semantics | * motivation and brief history of distributional semantics |
=== Day 2: The parameters of a DSM === | === Day 2: The parameters of a DSM === |
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{{:course:esslli2018:dsm_tutorial_part2.slides.pdf|Presentation slides}} (PDF, 1.0MiB) – {{:course:esslli2018:dsm_tutorial_part2.handout.pdf|handout}} (PDF, 1.2 MiB) | {{:course:esslli2018:dsm_tutorial_part2.slides.pdf|Presentation slides}} (PDF, 1.3 MB) – {{:course:esslli2018:dsm_tutorial_part2.handout.pdf|handout}} (PDF, 1.0 MB) – {{:course:esslli2018:part2_examples.R|R code}} – {{:course:esslli2018:part2_input_formats.R|practice: input formats}} – {{:course:esslli2018:part2_exercise.R|exercise (DSM parameters)}} |
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* taxonomy of DSM parameters: context representation, feature scaling, normalization and standardization, distance/similarity measures, dimensionality reduction | * taxonomy of DSM parameters: context representation, feature scaling, normalization and standardization, distance/similarity measures, dimensionality reduction |
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=== Day 3: Applications and evaluation === | === Day 3: Applications and evaluation === |
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| {{:course:esslli2018:dsm_tutorial_part3.slides.pdf|Presentation slides}} (PDF, 2.0 MB) – {{:course:esslli2018:dsm_tutorial_part3.handout.pdf|handout}} (PDF, 1.8 MB) – {{:course:esslli2018:part3_examples.R|R code}} – {{:course:esslli2018:part3_exercise.R|exercise (evaluation)}} |
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* attributional and relational similarity, clustering and semantic categorization, multiple-choice tasks | * attributional and relational similarity, clustering and semantic categorization, multiple-choice tasks |
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=== Day 4: Elements of matrix algebra === | === Day 4: Elements of matrix algebra === |
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| {{:course:esslli2018:dsm_tutorial_part4.slides.pdf|Presentation slides}} (PDF, 0.7 MB) – {{:course:esslli2018:dsm_tutorial_part4.handout.pdf|handout}} (PDF, 0.6 MB) – {{:course:esslli2018:part4_examples.R|R code}} – {{:course:esslli2018:schuetze1998.R|bonus practice: Schütze-style WSD}} – {{:course:esslli2018:part4_exercise.R|exercise (roll your own DSM)}} |
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* basic matrix and vector operations, orthogonal projection & dimensionality reduction | * basic matrix and vector operations, orthogonal projection & dimensionality reduction |