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- | ====== Distributional Semantic Models (ESSLLI 2009) ====== | ||
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- | **Schedule** – | ||
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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}}, | ||