Search Results for author: Dave Palfrey

Found 4 papers, 0 papers with code

Debiasing knowledge graph embeddings

no code implementations EMNLP 2020 Joseph Fisher, Arpit Mittal, Dave Palfrey, Christos Christodoulopoulos

It has been shown that knowledge graph embeddings encode potentially harmful social biases, such as the information that women are more likely to be nurses, and men more likely to be bankers.

Knowledge Graph Embeddings

Measuring Social Bias in Knowledge Graph Embeddings

no code implementations5 Dec 2019 Joseph Fisher, Dave Palfrey, Christos Christodoulopoulos, Arpit Mittal

It has recently been shown that word embeddings encode social biases, with a harmful impact on downstream tasks.

Knowledge Graph Embeddings Word Embeddings

Demand-Weighted Completeness Prediction for a Knowledge Base

no code implementations NAACL 2018 Andrew Hopkinson, Amit Gurdasani, Dave Palfrey, Arpit Mittal

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.

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