Master Practical Course - Legal Natural Language Processing Lab (IN2106, IN4316)
Course 0000001201 in SS 2023
General Data
| Course Type | practical training |
|---|---|
| Semester Weekly Hours | 6 SWS |
| Organisational Unit | Informatics 19 - Assistant Professorship of Legal Tech (Prof. Grabmair) |
| Lecturers |
Matthias Grabmair |
| Dates |
Assignment to Modules
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IN2106: Master-Praktikum / Advanced Practical Course
This module is included in the following catalogs:- Further Modules from Other Disciplines
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | The analysis of legal data/text and the design and development of systems that provide valuable functionality to legal practitioners pose various challenges. These include noisy raw data that must be carefully preprocessed, ill-defined tasks for which only small datasets exist and for which learning supervision and evaluation is difficult to obtain, and domain-specific information of various kinds that must be taken into account at many stages of the process. This lab course provides students with an opportunity to gain practical experience in working with legal data data in small teams. The instructors will be offering projects centered around a research question/hypothesis. They will typically involve one or more datasets from a legal domain, one or more formal tasks, and one or more methods to be tried. Over the course of the semester, teams will develop an experimental system/prototype and evaluate it, thereby producing new insight about that hypothesis. Teams will meet with their mentor regularly and need to pass three milestones, for each of which they are expected to produce a progress report document and give a presentation to their peers. Students must have experience in machine learning and natural language processing. Prior passing of IN2395: Legal Data Science & Informatics is also strongly recommended. If a student has not taken IN2395, it is expected that they familiarize themselves with background materials relevant to their respective project. |
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| Links |
E-Learning course (e. g. Moodle) Additional information TUMonline entry |
Equivalent Courses (e. g. in other semesters)
| Semester | Title | Lecturers | Dates |
|---|---|---|---|
| SS 2024 | Master Practical Course - Legal Natural Language Processing Lab (IN2106, IN4316) | Grabmair, M. Tokala, Y. Xu, S. | |
| WS 2023/4 | Master Practical Course - Legal Data Analysis Lab (IN2106, IN4316) | Grabmair, M. | |
| WS 2022/3 | Master Practical Course - Legal Data Analysis Lab (IN2106, IN4316) | Grabmair, M. |
Wed, 14:00–17:00, MI 02.04.011 |
| SS 2022 | Master Practical Course - Legal Data Analysis Lab (IN2106, IN4316) | Grabmair, M. |
Wed, 15:00–17:00, GALILEO Taurus |