AM1
Current Topics in Computational Linguistics
The topics of the AMs will change each semester, and bring you in touch with the current state of the art in the three fields. They are typically taught as seminars: that is, each student picks a topic in the beginning of the semester, gives a talk about one or two research papers on this topic, and then writes a seminar paper about it.
module coordinator:
Examples of Past Courses:
- Unsupervised Linguistic Structure Induction
- Natural Language Generation
- Discourse processing for social media texts
- Atelier in Experimental and Computational Phonology
- Deep Learning for NLP