Skip to main content

Bibliographic Entity Automatic Recognition and Disambiguation

Project description

Beard is a Python library of machine learning tools for Bibliographic Entity Automatic Recognition and Disambiguation.

The project is currently in stable stage of development.

https://travis-ci.org/inspirehep/beard.svg?branch=master https://coveralls.io/repos/inspirehep/beard/badge.png

Installation

python setup.py install

Examples

In the examples/applications/author-disambiguation directory there are files that present how to use the library for the author disambiguation problem. Check the README.rst in this directory for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

beard-0.2.2.tar.gz (56.4 MB view details)

Uploaded Source

File details

Details for the file beard-0.2.2.tar.gz.

File metadata

  • Download URL: beard-0.2.2.tar.gz
  • Upload date:
  • Size: 56.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.8

File hashes

Hashes for beard-0.2.2.tar.gz
Algorithm Hash digest
SHA256 6fa3bf7003a681e4f4e588321d82f73b0274814a051d703c300d8d2e28f4693a
MD5 888a8741641eed2bb17096651235b577
BLAKE2b-256 d4f86a4e8f3f42f986e9bec43c8b306ee61d398c0a52ef824dd03a971e23576f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page