4 ms·
Unlike Word2vec, this tool learns embeddings of entities (i.e., entries in Wikipedia) as well as words. And although the model implemented in this tool is based
by ikuyamada 8y ago
Unlike Word2vec, this tool learns embeddings of entities (i.e., entries in Wikipedia) as well as words.
And although the model implemented in this tool is based on Word2vec's skip-gram model, it is extended using two submodels (Wikipedia link graph model and anchor context model).
Please refer to the documentation for details:
https://wikipedia2vec.github.io/wikipedia2vec/intro/ https://wikipedia2vec.github.io/wikipedia2vec/intro/