Learning and analyzing vector encoding of symbolic representations

March 10, 2018 Β· Declared Dead Β· πŸ› International Conference on Learning Representations

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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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