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- | ====== Distributional Semantic Models (ESSLLI 2009) ====== | + | The page you're looking for has moved to [[http://wordspace.collocations.de/ |
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- | [[course: | + | |
- | **Schedule** – | + | |
- | [[course: | + | |
- | [[course: | + | |
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- | ===== Schedule & handouts ===== | + | |
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- | Credits: Some of the slides in the course are based on an earlier DSM course taught by Marco Baroni | + | |
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- | == Introduction == | + | |
- | {{esslli.dsm.intro.pdf|Slides}} | + | |
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- | == Foundations of DSMs (Mon, 27 July) == | + | |
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- | * general introduction & background | + | |
- | * DSMs in a nutshell | + | |
- | * the DSM parameter space: a taxonomy | + | |
- | {{esslli.dsm.1.pdf|Slides}}, | + | |
- | == Matrix algebra & vector spaces (Tue, 28 July) == | + | |
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- | * matrix representation, | + | |
- | * geometric analysis (norms, distances, similarity & angles) | + | |
- | * implementation: | + | |
- | {{: | + | |
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- | == DSMs in computational linguistics and cognitive science (Wed, 29 July) == | + | |
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- | * What can we do with DSM vectors? | + | |
- | * Do DSMs capture interesting aspects of word meaning? | + | |
- | {{esslli.dsm.2.pdf|Slides}}, | + | |
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- | == Geometric interpretation of DSM spaces (Thu, 30 July) == | + | |
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- | * more advanced matrix algebra | + | |
- | * distances, norms and angles | + | |
- | * principal components analysis (PCA) as noise reduction | + | |
- | {{: | + | |
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- | == SVD (Fri, 31 July, part A) == | + | |
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- | * singular value decomposition (SVD) | + | |
- | * managing high-dimensional DSMs (SVD, random indexing) | + | |
- | {{: | + | |
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- | == Challenges for DSMs & current research (Fri, 31 July, part B) == | + | |
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- | * looking for a unified model | + | |
- | * DSMs and compositionality | + | |
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- | {{esslli.dsm.3.pdf|Slides}}, | + | |
+ | [[: |