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Showing 1 to 1 of 1 for “"Distributed Representations of Text"”.
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Injecting Inductive Biases into Distributed Representations of Text
Distributed real-valued vector representations of text (a.k.a. embeddings), learned by neural networks, encode various (linguistic) knowledge. To encode this knowledge into the embeddings the common approach is to train a large neural network on large corpora. There is, however, a growing concern …