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Seconding it with: https://arxiv.org/abs/1610.03017 https://arxiv.org/abs/1610.03017 Fully Character-Level Neural Machine Translation without Explicit Segmentat
by stared 10y ago
Seconding it with: https://arxiv.org/abs/1610.03017 https://arxiv.org/abs/1610.03017 Fully Character-Level Neural Machine Translation without Explicit Segmentation.
In general, RNNs are especially fit for discrete sequences. And their continuous representation is actually an advantage (so they can see that two words are similar or analogous). BTW: see my draft on word2vec: http://p.migdal.pl/2016/12/30/why-do-word2vec-analogies-work.html http://p.migdal.pl/2016/12/30/why-do-word2vec-analogies-work...
- lucidrains 10y agothis paper still consistently blows my mind whenever it is brought up. the future is clearly headed for complete end-to-end learning systems, maybe even with learning to learn methods. https://youtu.be/x1kf4Zojtb0?t=1h4m54s https://youtu.be/x1kf4Zojtb0?t=1h4m54s