wikivector 1.1.0

Tools for encoding Wikipedia articles as vectors.

wikivector

Tools for encoding Wikipedia articles as vectors.

Installation

To get the latest stable version:

pip install wikivector

To get the development version:

pip install git+git://github.com/mortonne/wikivector

Exporting Wikipedia text

First, run WikiExtractor on a Wikipedia dump. This will generate a directory with many subdirectories and text files within each subdirectory. Next, build a header file with a list of all articles in the extracted text data:

wiki_header wiki_dir header_file

where wiki_dir is the path to the output from WikiExtractor. The header_file will be a CSV file with the title of each article and the file in which it can be found.

To extract specific articles, write a CSV file with two columns: "item" and "title". The "title" for each item must exactly match an article title in the Wikipedia dump. To extract the text for each item:

export_articles header_file map_file output_dir

where map_file is the CSV file with your items, and output_dir is where you want to save text files with each item's article.

Universal Sentence Encoder

Once articles have been exported, you can calculate a vector embedding for each item using the Universal Sentence Encoder.

embed_articles map_file text_dir h5_file

This reads a map file specifying an item pool (only the "item" field is used) and outputs vectors in an hdf5 file. To read the vectors, in Python:

from wikivector import vector
vectors, items = vector.load_vectors(h5_file)

Citation

If you use wiki2vec, please cite the following paper:

Morton, NW*, Zippi, EL*, Noh, S, Preston, AR. In revision. Semantic knowledge of famous people and places is represented in distinct networks that converge in hippocampus. * authors contributed equally