Methods for evaluating low-resource word embedding models trained with gensim
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
Topk methods introduced in this paper.
For more details visit the github repository
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