Language Models and Knowledge Graphs: A Two-Way Information Flow
Module Description
| Course | Module Abbreviation | Credit Points |
|---|---|---|
| BA-2010 | AS-CL, AS-FL | 8 LP |
| BA-2010[100%|75%] | CS-CL | 6 LP |
| BA-2010[50%] | BS-CL | 6 LP |
| BA-2010[25%] | BS-AC, BS-FL | 4 LP |
| Master | SS-CL-TAC, SS-SC-FAL | 8 LP |
| Lecturers | Moritz Plenz |
| Module Type |
|
| Language | English |
| First Session | 14.04.2025 |
| Time and Place | Monday, 10:15-11:45, INF 327 / SR 4 |
| Commitment Period | tbd. |
Participants
All advanced Bachelor students and all Master students. Students from MSc Data and Computer Science or MSc Scientific Computing with Anwendungsgebiet Computational Linguistics are welcome after getting permission from the lecturer.
Prerequisites for Participation
- Neural Networks
- Statistical Methods
Participants will have to read papers on their own. The lectures listed above are guidelines for the content that participants are expected to know /learn on their own.
Assessment
- Active Participation
- Review(s)
- Presentation(s)
- Project
Content
This seminar explores the intersection of Language Models (LMs) and Knowledge Graphs (KGs), as well as Knowledge in LMs in general. Topics include (i) augmenting LMs with external knowledge, (ii) the role of LMs as implicit knowledge bases, (iii) leveraging LMs to construct KGs, and (iv) integrating KGs into LMs to improve factual accuracy and interpretability.
