PhD Doctor of Philosophy candidate
A high-level tutorial of ideas in natural language processing
Many current tutorials in natural language processing (NLP), particularly those related to neural networks, require a relatively high level of familiarity with linear algebra, neural networks, and/or computer science. While these tutorials are helpful, it can be difficult for a non-technical audience to fully understand the possibilities and limitations of methods used in NLP. The goal of this project is to create a high-level introduction to natural language processing. This project would entail understanding some of the main tools used in natural language processing, what their limitations are, and how they can be applied to real-world problems. It could result in a set of jupyter notebooks, a set of slides, and/or a small website with demonstrations that are accessible to a non-technical audience.