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The Cartographer
Can Neural Networks Learn Symbolic Rewriting?
November 07, 2019 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Bartosz Piotrowski, Josef Urban, Chad E. Brown, Cezary Kaliszyk
arXiv ID
1911.04873
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CL,
cs.LG
Citations
20
Venue
arXiv.org
Last Checked
4 months ago
Abstract
This work investigates if the current neural architectures are adequate for learning symbolic rewriting. Two kinds of data sets are proposed for this research -- one based on automated proofs and the other being a synthetic set of polynomial terms. The experiments with use of the current neural machine translation models are performed and its results are discussed. Ideas for extending this line of research are proposed, and its relevance is motivated.
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