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pro vyhledávání: '"Palfrey, Dave"'
It has recently been shown that word embeddings encode social biases, with a harmful impact on downstream tasks. However, to this point there has been no similar work done in the field of graph embeddings. We present the first study on social bias in
Externí odkaz:
http://arxiv.org/abs/1912.02761
Bilinear models such as DistMult and ComplEx are effective methods for knowledge graph (KG) completion. However, they require large batch sizes, which becomes a performance bottleneck when training on large scale datasets due to memory constraints. I
Externí odkaz:
http://arxiv.org/abs/1910.11583
In this paper we introduce the notion of Demand-Weighted Completeness, allowing estimation of the completeness of a knowledge base with respect to how it is used. Defining an entity by its classes, we employ usage data to predict the distribution ove
Externí odkaz:
http://arxiv.org/abs/1804.11109