PDF State of Art for Semantic Analysis of Natural Language Processing Karwan Jacksi
Massively parallel algorithms running on Graphic Processing Units (Chetlur et al., 2014; Cui et al., 2015) crunch vectors, matrices, and tensors faster than decades ago. The back-propagation algorithm can be now computed for complex and large neural networks. Symbols are not needed any more during “resoning.” Hence, discrete symbols only survive as inputs and outputs …
PDF State of Art for Semantic Analysis of Natural Language Processing Karwan Jacksi Read More »