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fastText

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This is an old revision of this page, as edited by Justin Ormont (talk | contribs) at 14:22, 12 January 2018 (Added additional references). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.


fastText, is a library for learning of word embeddings and sentence classification created by Facebook's AI Research (FAIR) lab[1][2][3][4]. The model is an unsupervised learning algorithm for obtaining vector representations for words. Facebook makes available pretrained models for 294 languages.[5]


See also

References

  1. ^ Mannes, John. "Facebook's fastText library is now optimized for mobile". TechCrunch. Retrieved 12 January 2018.
  2. ^ Ryan, Kevin J. "Facebook's New Open Source Software Can Learn 1 Billion Words in 10 Minutes". Inc. Retrieved 12 January 2018.
  3. ^ Low, Cherlynn. "Facebook is open-sourcing its AI bot-building research". Engadget. Retrieved 12 January 2018.
  4. ^ Mannes, John. "Facebook's Artificial Intelligence Research lab releases open source fastText on GitHub". TechCrunch. Retrieved 12 January 2018.
  5. ^ Sabin, Dyani. "Facebook Makes A.I. Program Available in 294 Languages". Inverse. Retrieved 12 January 2018.
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