Papers with generating word embedding evaluation

1 papers
MGAD: Multilingual Generation of Analogy Datasets (L18-1)

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Challenge: Existing methods for word embedding evaluation are computationally expensive and task-specific.
Approach: They propose a minimally supervised method for generating word embedding evaluation datasets for a large number of languages using existing dependency treebanks and parsers.
Outcome: The proposed method evaluates three popular word embedding algorithms against these datasets and shows that their performance varies between syntactic categories.

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