Character Sequence Models for ColorfulWords
September 28, 2016 ยท Declared Dead ยท ๐ Conference on Empirical Methods in Natural Language Processing
"No code URL or promise found in abstract"
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Authors
Kazuya Kawakami, Chris Dyer, Bryan R. Routledge, Noah A. Smith
arXiv ID
1609.08777
Category
cs.CL: Computation & Language
Citations
20
Venue
Conference on Empirical Methods in Natural Language Processing
Last Checked
4 months ago
Abstract
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.
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