Papers with generating word embedding evaluation
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. |