4 citations · 11 across the 8 of their papers we have counts for
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cs.NE2016
Spikes as regularizers
Anders Søgaard
We present a confidence-based single-layer feed-forward learning algorithm SPIRAL (Spike Regularized Adaptive Learning) relying on an encoding of activation spikes. We adaptively u…
cs.CL2016★ 4 cited
Improving historical spelling normalization with bi-directional LSTMs and multi-task learning
Marcel Bollmann, Anders Søgaard
Natural-language processing of historical documents is complicated by the abundance of variant spellings and lack of annotated data. A common approach is to normalize the spelling…
cs.CL2016★ 2 cited
A Strong Baseline for Learning Cross-Lingual Word Embeddings from Sentence Alignments
Omer Levy, Anders Søgaard, Yoav Goldberg
While cross-lingual word embeddings have been studied extensively in recent years, the qualitative differences between the different algorithms remain vague. We observe that whethe…