Character Sequence Models for ColorfulWords
  We present a neural network architecture to predict a point in color space from the sequence of characters in the color's name. Using large scale color--name pairs obtained from an online color design forum, we evaluate our model on a "color Turing test" and find that, given a name, the colors predicted by our model are preferred by annotators to color names created by humans. Our datasets and demo system are available online at colorlab.us. 
Kazuya Kawakami, Chris Dyer, Bryan R. Routledge, Noah A. Smith
cs.CL