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Canonical Correlation Inference for Mapping Abstract Scenes to Text
August 09, 2016 ยท Declared Dead ยท ๐ AAAI Conference on Artificial Intelligence
"No code URL or promise found in abstract"
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Authors
Nikos Papasarantopoulos, Helen Jiang, Shay B. Cohen
arXiv ID
1608.02784
Category
cs.CL: Computation & Language
Citations
1
Venue
AAAI Conference on Artificial Intelligence
Last Checked
5 months ago
Abstract
We describe a technique for structured prediction, based on canonical correlation analysis. Our learning algorithm finds two projections for the input and the output spaces that aim at projecting a given input and its correct output into points close to each other. We demonstrate our technique on a language-vision problem, namely the problem of giving a textual description to an "abstract scene".
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