Compositional Semantics
Zhiyuan Liu, Yankai Lin, Maosong Sun · 2020
Abstract Many important applications in NLP fields rely on understanding more complex language units such as phrases, sentences, and documents beyond words. Therefore, compositional semantics has remained a core task in NLP. In this chapter, we first introduce various models for binary semantic composition, including additive models and multiplicative models. After that, we present various typical models for N-ary semantic composition including recurrent neural network, recursive neural network, and convolutional neural network.