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Embedded *isms in Vector-Based Natural Language Processing

blog.kjamistan.com · published 15 September 2016

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http://www.nytimes.com/2016/06/26/opinion/sunday/artificial-intelligences-white-guy-problem.html?_r=0

nytimes.com

https://www.oreilly.com/learning/how-we-amplify-privilege-with-supervised-machine-learning

oreilly.com

https://arxiv.org/abs/1606.06121

arxiv.org

https://www.technologyreview.com/s/602025/how-vector-space-mathematics-reveals-the-hidden-sexism-in-language/

technologyreview.com

https://www.google.co.uk/search?q=king+queen+word2vec

google.co.uk

https://en.wikipedia.org/wiki/Binghamton_shootings

en.wikipedia.org

https://www.youtube.com/watch?v=nwTejVem4zc

youtube.com

https://www.theguardian.com/technology/2016/mar/30/microsoft-racist-sexist-chatbot-twitter-drugs

theguardian.com

https://github.com/idio/wiki2vec

github.com

http://boingboing.net/2015/12/02/racist-algorithms-how-big-dat.html

boingboing.net

http://twitter.com/kjam

twitter.com

https://code.google.com/archive/p/word2vec/

code.google.com

https://github.com/kjam/random_hackery/blob/master/*isms%20and%20word%20embeddings.ipynb

github.com