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2. Word2vec - Wikipedia

   en.wikipedia.org/wiki/Word2vec

   Word2vec was created, patented, [7] and published in 2013 by a team of researchers led by Mikolov at Google over two papers. [1] [2] The original paper was rejected by reviewers for ICLR conference 2013. It also took months for the code to be approved for open-sourcing. [8] Other researchers helped analyse and explain the algorithm. [4]

3. Tomáš Mikolov - Wikipedia

   en.wikipedia.org/wiki/Tomáš_Mikolov

   Mikolov obtained his PhD in Computer Science from Brno University of Technology for his work on recurrent neural network-based language models. [1] [2] He is the lead author of the 2013 paper that introduced the Word2vec technique in natural language processing [3] and is an author on the FastText architecture.

4. Help:Download as PDF - Wikipedia

   en.wikipedia.org/wiki/Help:Download_as_PDF

   In the Print/export section select Download as PDF. The rendering engine starts and a dialog appears to show the rendering progress. When rendering is complete, the dialog shows "The document file has been generated. Download the file to your computer." Click the download link to open the PDF in your selected PDF viewer.

5. New International Version Inclusive Language Edition

   en.wikipedia.org/wiki/New_International_Version...

   The New International Version Inclusive Language Edition (NIVi) of the Christian Bible was an inclusive language version of the New International Version (NIV). It was published by Hodder and Stoughton (a subsidiary of Lagardere Publishing) in London in 1995; New Testament and Psalms, with the full bible following in 1996. It was only released ...

6. Nitro Pro - Wikipedia

   en.wikipedia.org/wiki/Nitro_Pro

   Nitro Software offers a PDF editor, a browser-based application for electronic signatures, and various PDF productivity tools. Subscription services feature cloud-based user management, deployment, and analytics tools. The company also manages several document conversion websites. Nitro Software's desktop products are compatible with Windows ...

7. Word embedding - Wikipedia

   en.wikipedia.org/wiki/Word_embedding

   In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]