On the effectiveness of feature set augmentation using clusters of word embeddings

3 May 2017Georgios BalikasIoannis Partalas

Word clusters have been empirically shown to offer important performance improvements on various tasks. Despite their importance, their incorporation in the standard pipeline of feature engineering relies more on a trial-and-error procedure where one evaluates several hyper-parameters, like the number of clusters to be used... (read more)

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