In this chapter, we introduce the background of neural networks and review related literature. Section 2.1 introduces the general neural network and its learning algorithm—backpropagation. Section 2.2 addresses specialty of natural language processing, and introduces neural language models and word embedding learning. Section 2.3 introduces existing structure-sensitive neural networks, including the convolutional neural network, recurrent neural network, and recursive neural network.
CITATION STYLE
Mou, L., & Jin, Z. (2018). Background and related work. In SpringerBriefs in Computer Science (pp. 9–35). Springer. https://doi.org/10.1007/978-981-13-1870-2_2
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