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Re:Word embeddings in 2017: Trends and future directions by PaulHoule on Saturday October 21, 2017 @08:22PM (#15524401)
Maybe I'm not reading it right, but that arXiv paper about CoVE doesn't seem to be getting anywhere near commercially useful results.

For instance, the random result for ImDB in Table 2 is 88.4 and the best one is 92.1; that's really not a lot of lift. I could see TREC-6 and TREC-50 results being good enough to let off the leash, but I still have a hard time picturing this being useful in the real world.

Re:Word embeddings in 2017: Trends and future directions by jph00 on Sunday October 22, 2017 @11:53AM (#15527317)
Oh BTW the "random" result means randomly initialized vectors. It's still using embeddings, just not pretraining
Re:Word embeddings in 2017: Trends and future directions by jph00 on Sunday October 22, 2017 @11:50AM (#15527307)
I have a version that gets 94.5 on IMDB although not published yet.