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  • Shenghui Wang (1)

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  • 2018 (1)

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Subject Prediction Using Semantic Embedding

Subject Prediction Using Semantic Embedding

By Rob Koopman and Shenghui Wang

DANS colloquium 'Revisiting the NARCIS Classification’
The Hague (Netherlands)

Koopman and Wang describe semantic embedding and their work on the Ariadne random projection algorithm that attempts to predict the right mix of subject headings.

File: pdf   Topics: Semantic Embedding