The Future: Computational Linguistics and Deep Learning

This lecture explores the unstoppable rise of computational linguistics in deep learning, discussing grammar formalisms, connectionism, variable binding, and the influence of computational linguistics on deep learning architectures. It also covers early neural network models of language, attention-based models, transformers, and future directions in inducing entities and levels from data.