The spring semester 2021 will certainly take place online until Easter. Exceptions: Courses that can only be carried out with on-site presence. Please note the information provided by the lecturers.

851-0739-01L  Sequencing Legal DNA: NLP for Law and Political Economy

SemesterSpring Semester 2021
LecturersE. Ash
Periodicityyearly recurring course
Language of instructionEnglish
CommentParticularly suitable for students of D-INFK, D-ITET, D-MTEC


AbstractThis course explores the application of natural language processing techniques to texts in law, politics, and the news media.
ObjectiveStudents will be introduced to a broad array of tools in natural language processing (NLP). They will learn to evaluate and apply NLP tools to a variety of problems. The applications will focus on social-science contexts, including law, politics, and the news media. Topics include text classification, topic modeling, transformers, model explanation, and bias in language.
ContentNLP technologies have the potential to assist judges and other decision-makers by making tasks more efficient and consistent. On the other hand, language choices could be biased toward some groups, and automated systems could entrench those biases.

We will explore the use of NLP for social science research, not just in the law but also in politics, the economy, and culture. We will explore, critique, and integrate the emerging set of tools for debiasing language models and think carefully about how notions of fairness should be applied in this domain.
Prerequisites / NoticeSome programming experience in Python is required, and some experience with NLP is highly recommended.