Vector-space models of semantic representation from a cognitive perspective: A discussion of common misconceptions
Models that represent meaning as high-dimensional numerical vectors—such as latent
semantic analysis (LSA), hyperspace analogue to language (HAL), bound encoding of the …
semantic analysis (LSA), hyperspace analogue to language (HAL), bound encoding of the …
Survey on the attention based RNN model and its applications in computer vision
F Wang, DMJ Tax - arxiv preprint arxiv:1601.06823, 2016 - arxiv.org
The recurrent neural networks (RNN) can be used to solve the sequence to sequence
problem, where both the input and the output have sequential structures. Usually there are …
problem, where both the input and the output have sequential structures. Usually there are …