Abstract
We present Wikipedia2Vec, an open source tool for learning embeddings of
words and entities from Wikipedia. This tool enables users to easily obtain
high-quality embeddings of words and entities from a Wikipedia dump with a
single command. The learned embeddings can be used as features in downstream
natural language processing (NLP) models. The tool can be installed via PyPI.
The source code, documentation, and pretrained embeddings for 12 major
languages can be obtained at http://wikipedia2vec.github.io.
Users
Please
log in to take part in the discussion (add own reviews or comments).