Metadata-Version: 2.1
Name: coreferee
Version: 1.4.0
Summary: Coreference resolution for English, French, German and Polish, optimised for limited training data and easily extensible for further languages
Home-page: https://github.com/richardpaulhudson/coreferee
Author: Richard Paul Hudson
Author-email: hudsonrichardpaul@gmail.com
License: MIT
Keywords: nlp,spacy,spacy-extension,python,machine-learning,coreference,anaphora,coreference-resolution,anaphora-resolution
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Other Audience
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Natural Language :: French
Classifier: Natural Language :: German
Classifier: Natural Language :: Polish
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Text Processing :: Linguistic
Requires-Python: <3.11,>=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

Coreferences are situations where two or more words within a text refer to the same entity, e.g. _**John** went home because **he** was tired_. Resolving coreferences is an important general task within the natural language processing field.

Coreferee is a Python 3 library (tested with versions 3.6—3.10) that is used together with [spaCy](https://spacy.io/) (tested with versions 3.0.0—3.5.0) to resolve coreferences within English, French, German and Polish texts. It is designed so that it is easy to add support for new languages. It uses a mixture of neural networks and programmed rules.

The library was originally developed at [msg systems](https://www.msg.group/en) and was also maintained for a while at [Explosion AI](https://explosion.ai).

For more information, please see the [main documentation on GitHub](https://github.com/richardpaulhudson/coreferee).
