Learning and analyzing vector encoding of symbolic representations
March 10, 2018 Β· Declared Dead Β· π International Conference on Learning Representations
"No code URL or promise found in abstract"
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Authors
Roland Fernandez, Asli Celikyilmaz, Rishabh Singh, Paul Smolensky
arXiv ID
1803.03834
Category
cs.AI: Artificial Intelligence
Citations
4
Venue
International Conference on Learning Representations
Last Checked
4 months ago
Abstract
We present a formal language with expressions denoting general symbol structures and queries which access information in those structures. A sequence-to-sequence network processing this language learns to encode symbol structures and query them. The learned representation (approximately) shares a simple linearity property with theoretical techniques for performing this task.
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