In this software project, students will address tasks related to a wide range of NLP research areas, e.g., argumentation mining, text summarization, information extraction, anaphora resolution, and more. Possible project ideas will be presented in the first lecture.
The students' task in this course will be to execute one of the projects in a small group or individually. This involves, for example, constructing a corpus, analyzing large datasets, training deep neural networks, evaluating a model's performance, carrying out error analysis, and creating prototypes. The mentoring research staff will define the project requirements. Students will regularly meet with their mentors to discuss the progress of the project.