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Supporting verification of news articles with automated search for semantically similar articles
We find that our approach is agnostic to concept drifts, i. e. the machine learning task is independent of the hypotheses in a text.
Improving Word Embeddings Using Kernel PCA
Word-based embedding approaches such as Word2Vec capture the meaning of words and relations between them, particularly well when trained with large text collections; however, they fail to do so with small datasets.
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