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Talk at IKNOW 2013, describing the Semantic Pattern Transformation.
This process transforms feature vectors, which are commonly used in machine learning into a semantic representation. The advantage is that we can use this model across all domains, which is not possible for the raw feature vectors without cumbersome preprocessing operations.
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