Retro: Relation Retrofitting for In-Database Machine Learning on Textual Data

There are massive amounts of textual data residing in databases, valuable for
many machine learning (ML) tasks. Since ML techniques depend on numerical input
representations, word embeddings are increasingly utilized to convert symbolic
representations su… Read more

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