Computational semantics

About this programme

No fees are charged for EU and EEA citizens, Swedish residence permit holders and exchange students. The course introduces students to the current AI methods of modelling natural language and meaning it expresses. In this course we will discuss ways of representing meaning of words, sentences and conversations with computational methods, both top-down rule-based representations and data-driven representations learned by machine learning. We will contrast them with each other, examine how we can draw inferences or reason with them computationally, and how can they be applied in different language technology tasks and applications. • machine learning-based distributed and contextualised word embeddings and language models Admission to the course requires general entry requirements for second-cycle education and a successful completion of a course in Assessment is based upon the number of credits from previous university studies and the fit of the candidates academic background to the course pre-requisities. To access their eligibility for the course, candidates are requested to fill in a summary sheet and upload it to the admissions system. Summary sheet for application Selection is based upon the number of credits from previous university studies, maximum 165 credits. The Faculty of Humanities is located in the Humanisten building at Renströmsgatan 6. The Department of Philosophy, Linguistics and Theory of Science has its premises on the 5th floor. Both the Faculty of Humanities and the adjacent Humanities Library offer several study areas and group rooms.