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Edgar Meij

semantic search research ッ

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Tag: httpsedgar-meij-pro

Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction

16/11/2020 Blog Conference Papers Publications No Comments
Little is known about the trustworthiness of predictions made by knowledge graph embedding (KGE) models. In this paper we take initial steps toward this direction by investigating the calibration of KGE models, or the extent to which they output confidence scores that reflect the expected correctness of predicted knowledge graph…

Utilizing Knowledge Bases in Text-centric Information Retrieval (ICTIR 2016)

12/09/2016 Blog Conference Papers Publications No Comments
General-purpose knowledge bases are increasingly growing in terms of depth (content) and width (coverage). Moreover, algorithms for entity linking and entity retrieval have improved tremendously in the past years. These developments give rise to a new line of research that exploits and combines these developments for the purposes of text-centric…
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This is the website of Edgar Meij. I lead several groups of researchers and engineers at Bloomberg working on search, question answering, autocomplete suggestions, machine learning, and more…

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