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Yep, ConceptNet Numberbatch is my work too, and it's been the most effective way to show that knowledge graphs matter -- that there is more to know about word r
by rspeer 9y ago
Yep, ConceptNet Numberbatch is my work too, and it's been the most effective way to show that knowledge graphs matter -- that there is more to know about word relationships than you can get from distributional semantics ("word2vec") alone.
- nl 9y agoOh really? Very nice... although I'm only using the aligned distributional semantic nature of them. I have some background in question answering over knowledge graphs, though, so I'm familiar with their strengths.
- rspeer 9y agoI'd be interested to hear about what you're doing with it. In my company Luminoso's work, it's important in building domain-specific models that can be used for topic detection, search, and classification. Beyond that, I use it for mostly the basic demos -- word similarity, text similarity, analogies, et cetera. I believe based on its performance there that it should be a pure upgrade to the kind of applications that use word2vec, but I'd like to know what particular applications it's being used in besides my own.