word2vec-wikification-py

wiki_node_disambiguation - - -

What’s this ?

You can run “Wikification” as easy as possible.
- According to wikipedia, Wikification is in computer science, entity linking with Wikipedia as the target knowledge base
You can get disambiguated result with its score.

Please visit Github page also. If you find any bugs and you report it to github issue, I’m glad. Any pull-requests are welcomed.

Requirement

Python3.x (checked under )
- I recommend to use “Anaconda” distribution.

Setup

python setup.py install

Get wikipedia entity vector model

Go to this page and download model file from here. Or run download_model.sh

To those who uses interface.predict_japanese_wiki_names()

You’re supposed to have mysql somewhere.

The step until using it.

start mysql server somewhere
download latest mysql dump files
initialize wikipedia database with mysql

To download wikipedia dump files, execute following commands

wget https://dumps.wikimedia.org/jawiki/latest/jawiki-latest-redirect.sql.gz
wget https://dumps.wikimedia.org/jawiki/latest/jawiki-latest-page.sql.gz
gunzip jawiki-latest-redirect.sql.gz
gunzip jawiki-latest-page.sql.gz

To initialize wikipedia database with mysql,

% CREATE DATABASE wikipedia;
% mysql -u [user_name] -p[password] wikipedia < jawiki-latest-redirect.sql
% mysql -u [user_name] -p[password] wikipedia < jawiki-latest-page.sql

Change logs

version0.1
- released
- It supports only Japanese wikipedia

Release files for word2vec-wikification-py 0.17

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Source distribution (sdist)

Source distribution for word2vec-wikification-py 0.17
File	Size	Uploaded
word2vec_wikification_py-0.17.tar.gz	30.5 kB	Mar 15, 2017	Details

Release files / word2vec_wikification_py-0.17.tar.gz

Download URL	word2vec_wikification_py-0.17.tar.gz
Size	30.5 kB
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SHA-256 checksum How to use checksums	`b8bc5ebf8eb42c44eacd6b457cc382b86b82a84015d9fe59962368370916bff0`
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Upload date	Mar 15, 2017
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