Metadata-Version: 1.1
Name: wikipedia2vec
Version: 1.0.0
Summary: A tool for learning vector representations of words and entities from Wikipedia
Home-page: http://wikipedia2vec.github.io/
Author: Studio Ousia
Author-email: ikuya@ousia.jp
License: UNKNOWN
Description: Wikipedia2Vec
        =============
        
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        Wikipedia2Vec is a tool used for obtaining embeddings (vector
        representations) of words and entities from Wikipedia. It is developed
        and maintained by `Studio Ousia <http://www.ousia.jp>`__.
        
        This tool enables you to learn embeddings that map words and entities
        into a unified continuous vector space. The embeddings can be used as
        word embeddings, entity embeddings, and the unified embeddings of words
        and entities. They are used in the state-of-the-art models of various
        tasks such as `entity linking <https://arxiv.org/abs/1601.01343>`__,
        `named entity recognition <http://www.aclweb.org/anthology/I17-2017>`__,
        `entity relatedness <https://arxiv.org/abs/1601.01343>`__, and `question
        answering <https://arxiv.org/abs/1803.08652>`__.
        
        Documentation and pretrained embeddings are available online at
        http://wikipedia2vec.github.io/.
        
        Reference
        ---------
        
        If you use Wikipedia2Vec in a scientific publication, please cite the
        following paper:
        
        ::
        
            @InProceedings{yamada-EtAl:2016:CoNLL,
              author    = {Yamada, Ikuya  and  Shindo, Hiroyuki  and  Takeda, Hideaki  and  Takefuji, Yoshiyasu},
              title     = {Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation},
              booktitle = {Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning},
              month     = {August},
              year      = {2016},
              address   = {Berlin, Germany},
              pages     = {250--259},
              publisher = {Association for Computational Linguistics}
            }
        
        License
        -------
        
        `Apache License 2.0 <http://www.apache.org/licenses/LICENSE-2.0>`__
        
        .. |Fury badge| image:: https://badge.fury.io/py/wikipedia2vec.png
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        .. |CircleCI| image:: https://circleci.com/gh/wikipedia2vec/wikipedia2vec.svg?style=svg
           :target: https://circleci.com/gh/wikipedia2vec/wikipedia2vec
        
Keywords: wikipedia,embedding,wikipedia2vec
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
