Computational lexical semantics

This course covers advanced topics in the computational representation of lexical items, with special focus on connecting work in computational linguistics to theoretical questions in lexical semantics. All sessions will be in an interactive tutorial format, using the Jupyter notebook platform and curated datasets. Students should have basic competence in unsupervised methods for linguistic data and should be comfortable manipulating data using python; in this course, we will use tools from the scipy stack. Both of these competences can be gained in the proposed ESSLLI introductory course "Unsupervised Methods for Linguistic Data," which introduces the scipy stack to participants with previous experience in scientific computing with R.