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Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
course:material [2018/08/24 16:58] schtepf [DSMs based on the English Wikipedia] |
course:material [2021/08/10 20:30] schtepf [Software for the course] |
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====== Courses and Tutorials on DSM ====== | ====== Courses and Tutorials on DSM ====== | ||
- | [[course: | + | [[course: |
[[course: | [[course: | ||
[[course: | [[course: | ||
+ | [[course: | ||
**Software & data sets** – | **Software & data sets** – | ||
[[course: | [[course: | ||
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Practical examples and exercises for these courses and tutorials are based on the user-friendly software package [[http:// | Practical examples and exercises for these courses and tutorials are based on the user-friendly software package [[http:// | ||
- | - Install up-to-date versions of [[https:// | + | - Install up-to-date versions of [[https:// |
- Use the installer built into RStudio (or the standard R GUI) to install the following packages from the CRAN archive: | - Use the installer built into RStudio (or the standard R GUI) to install the following packages from the CRAN archive: | ||
- | * '' | + | * '' |
- | * '' | + | * '' |
- | * optional: '' | + | * recommended: |
+ | * optional: '' | ||
+ | * optional: '' | ||
- During the course, you will be asked to install a further package with additional evaluation tasks ('' | - During the course, you will be asked to install a further package with additional evaluation tasks ('' | ||
- | * '' | + | * '' |
+ | * if you are stuck with R v3.x, please use the older package version 0.1: [[http:// | ||
* download a suitable version and select “Install from: Package Archive File” in RStudio | * download a suitable version and select “Install from: Package Archive File” in RStudio | ||
- Download the sample data files listed below | - Download the sample data files listed below | ||
- Download one or more of the pre-compiled DSMs listed below | - Download one or more of the pre-compiled DSMs listed below | ||
+ | |||
+ | ===== Scaling R to large data sets ===== | ||
+ | |||
+ | Most of our hands-on examples work reasonably well in a standard R installation, | ||
+ | However, if you intend to work on real-life tasks and process large DSMs, it is important to enable multi-threaded computation | ||
+ | in R. Since DSMs build on matrix operations, a multi-threaded linear algebra library (“BLAS”) is key. | ||
+ | |||
+ | - In Linux, it should be sufficient to install the OpenBLAS package, e.g. in Ubuntu: '' | ||
+ | - In MacOS, follow [[https:// | ||
+ | - In Windows, you can try installing [[https:// | ||
+ | |||
+ | |||
+ | <!-- doesn' | ||
==== Getting the latest & greatest ==== | ==== Getting the latest & greatest ==== | ||
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You can also check the [[http:// | You can also check the [[http:// | ||
+ | |||
+ | --> | ||
===== Example data sets ===== | ===== Example data sets ===== | ||
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* '' | * '' | ||
* '' | * '' | ||
+ | * '' | ||
===== Pre-compiled DSMs ===== | ===== Pre-compiled DSMs ===== | ||
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Some publicly available pre-trained neural embeddings, converted into '' | Some publicly available pre-trained neural embeddings, converted into '' | ||
- | * word2vec: '' | + | * word2vec: '' |
===== Web interfaces ===== | ===== Web interfaces ===== |