The course offers an introduction to Natural Language Processing techniques and applications. The course introduces basic deep learning techniques for constructing representations of natural language texts, syntactic analyses, and canonical applications such as Question Answering, and Machine Translation. The emphasis is on understanding how (i) the basic requirements of language analyses and specific application needs can be formulated as learning problems, (ii) how aspects of natural language, such as syntactic and semantic structure, inspire the design of and are captured by modern state of the art techniques, and (iii) how to evaluate and understand the limitations and shortcomings of the models
