Our project group is excited to tackle this challenge and improve the quality of entity summaries by focusing on three important aspects:
To achieve this, we are exploring several cutting-edge techniques:
Through this project group, students will gain hands-on experience with the full pipeline of entity summarization in knowledge graphs, from concept understanding and dataset exploration to model implementation and potential improvements.
For more information, check out the slides: KGSUMM_PG_WiSe_25.pdf
Q: What is the selection process for this project?
A: Candidates will need to submit an assignment and undergo an interview as part of the selection process.
Q: Is there a seminar connected to this PG?
A: No.
Q: What are the prerequisites for this PG?
A: The ideal candidate should possess foundational knowledge in NLP and ML, along with strong programming skills in Python and shell scripting. Additionally, proficiency in Linux is essential. The ability to learn quickly and adapt to new technologies and methodologies is also critical as the PG domain is expected to have steep learning curve.
In case you have further questions, feel free to contact Asep Fajar Firmansyah.
L.079.070506 Project Group: Knowledge Graph Summarization (in English)