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relational_semantic_network [2018/09/15 05:06]
relational_semantic_network [2018/11/30 10:06] (current)
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 https://​slideslive.com/​38909774/​embedding-symbolic-computation-within-neural-computation-for-ai-and-nlp https://​slideslive.com/​38909774/​embedding-symbolic-computation-within-neural-computation-for-ai-and-nlp
 +https://​arxiv.org/​abs/​1809.11044 Relational Forward Models for Multi-Agent Learning
 +https://​arxiv.org/​abs/​1811.12143 Learning to Reason with Third-Order Tensor Products
 +We combine Recurrent Neural Networks with Tensor Product Representations to learn combinatorial representations of sequential data. This improves symbolic interpretation and systematic generalisation. Our architecture is trained end-to-end through gradient descent on a variety of simple natural language reasoning tasks, significantly outperforming the latest state-of-the-art models in single-task and all-tasks settings. We also augment a subset of the data such that training and test data exhibit large systematic differences and show that our approach generalises better than the previous state-of-the-art.