Hasso-Plattner-Institut
Prof. Dr. Felix Naumann
 

Knowledge Graphs meet Language Models

Knowledge Graphs represent information from real-world entities and their relationships in a graph structure. Their construction, representation and completion have been an active research topics in the last few years.

On the other hand, information have been also represented through natural language in vast amounts of documents throughout the history of humanity and recently large language models have been trained to embed this textual information in dense vector spaces.


In this seminar, we are going to study the basic concepts of knowledge graphs (creation and completion) and language model training, and then we will concentrate on recent research that have tried to combine both approaches.

Supervisors: Felix Naumann, Nitisha Jain and Alejandro Sierra-Múnera

 

The introductory, first session is open to all and will take place on Monday, April 25th from 13:30 to 14:30 in F.E-06.
 

Learning Goals

Students will learn to...

  • read and understand scientific publications
  • analyze and summarize research contributions

Schedule

Time: 13:30- 15:00
Location: Campus 2, F.E-06  (Changed to F-2.10)

 

DateTopic
April 18Holiday
April 25Organization & Preview
May 2Introduction session
May 9No session
May 16Paper presentation and discussion
May 23No session
May 30Paper presentation and discussion
June 6Holiday
June 13Paper presentation and discussion
June 20No session
June 27Paper presentation and discussion + Introduction to Part 2
July 25Final Poster session

 

(still updated, please not the changes)

Grading

  • Paper presentation 30%
  • Final poster presentation 70%

Prerequisites

  • Basics of machine learning and neural networks

Resources

  • Gerhard Weikum, Xin Luna Dong, Simon Razniewski and Fabian Suchanek (2021), "Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases", Foundations and Trends® in Databases: Vol. 10: No. 2-4, pp 108-490. http://dx.doi.org/10.1561/1900000064
  • Dan Jurafsky and James H. Martin, "Speech and Language Processing" (3rd ed. draft) https://web.stanford.edu/~jurafsky/slp3/