Metadata-Version: 2.1
Name: gensim-evaluations
Version: 0.1.1
Summary: Methods for evaluating low-resource word embedding models trained with gensim
Home-page: https://github.com/n8stringham/gensim-evaluations
Author: Nate Stringham
Author-email: n8stringham@gmail.com
License: LGPL-2.1
Description: # gensim-evaluations
        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](https://www.wikidata.org/wiki/Wikidata:Main_Page) and then to evaluate on them using the `OddOneOut` and `Topk` methods introduced in this [paper](https://www.aclweb.org/anthology/2020.eval4nlp-1.17/).
        
        For more details visit the [github repository](https://github.com/n8stringham/gensim-evaluations) 
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: GNU Lesser General Public License v2 (LGPLv2)
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Description-Content-Type: text/markdown
