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Methods for evaluating low-resource word embedding models trained with gensim

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This library provides methods for evaluating word embedding models loaded with gensim. Currently, it implements two methods designed specifically for the evaluation of low-resource models. The code allows users to automatically create custom test sets in any of the 581 languages supported by Wikidata and then to evaluate on them using the OddOneOut and Topk methods introduced in this paper.

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