Enabling Cognitive Intelligence Queries in Relational Databases using Low-dimensional Word Embeddings — mentioned by arrmn

Wed, 18 Oct 2017 23:43:06 GMT

Word embeddings are not just useful for text, they can be applied whenever you have relation between "tokens". You can use them to identifying nodes in graphs that belong to the same group[0]. Another, in my opinion, really interesting idea is to apply them to relational databases[1], you can simply ask for similar rows. It's a interesting article but the author didn't really provide good arguments why I should stop using w2v. [0] http://www.kdd.org/kdd2017/papers/view/struc2vec-learning-no... [1] https://arxiv.org/abs/1603.07185

Paper and discussion history. A mention is not an endorsement.

Enabling Cognitive Intelligence Queries in Relational Databases using Low-dimensional Word Embeddings · HackerPapers discussions

Enabling Cognitive Intelligence Queries in Relational Databases using Low-dimensional Word Embeddings — mentioned by arrmn