Stage-oe-small.jpg

Michael Färber/en

Aus Aifbportal
Wechseln zu:Navigation, Suche
Michael Faerber 2019.png



Michael Färber is the deputy professor (W3) of the research group Web Science at the KIT-institute AIFB since October 1, 2020.


He is also a Helmholtz AI Associate.


Research

Michael's research interests:

  • natural language processing,
  • machine learning, and
  • knowledge representation (e.g., knowledge graphs).


Current research foci:


More information can be found at his homepage and on Google Scholar.

Recently developed demonstration systems:


Recently created data sets:



Open Positions and Theses

Open student assistant jobs (Hiwis):

  • in the area of machine learning, natural language processing, and/or Semantic Web technologies: [1]
  • in Semantic MediaWiki or PHP: [2].
  • for knowledge graph-based methods for explaining recommender systems: [3].
  • for knowledge graph-based technology forecast and technology and innovation management (TIM).


Michael Färber has supervised around 40 Bachelor/Master theses. Current calls for Bachelor/Master thesis:

 Titel
Thema4800Data Science at the Frontline: Wie sich Schlagzeilen vor und nach der Bundestagswahl 2021 bei Google ändern
Thema4420Wie fair sind Forscher? Eine Analyse von Zerrungen bzgl. Zitaten in wissenschaftlichen Publikationen
Thema4772GPT-3, BERT & Co.: When to use which language model?
Thema4771Analyzing the Influence of Enterprises and Countries on AI Research
Thema4574Deep Learning + Knowledge Graphs
Thema4423Automatically Recommending Citations for Texts Using Neural Networks

All topics are open to English and German-speaking students.
Many of the thesis topics can also be written at a partner institution abroad (e.g. in Japan, Italy, France) and funded by the DAAD, given that the application is made one year in advance. More information under Web_Science/DAAD-Stipendium/en.



Publications
Publications


Talks
Talks


Active Projects
Mediating-machines.png

AI in Peacemaking
External Link: https://mediatingmachines.com/

Transparent.png

DataScore
External Link: https://datascore.int.kit.edu/

Digilog-logo.png

digilog@bw
External Link: https://digilog-bw.de

Transparent.png

KIGLIS

ProData Logo JPG.JPG.png

ProData
External Link: http://www.pro-data.org

Transper.png

TransPer


Research area
Semantic Search, Knowledge Representation And Reasoning, Machine Learning, Text Mining, Semantical Annotation, Information Extraction, Natural Language Processing, Digital Libraries, Knowledge Discovery, Data Mining, Artificial Intelligence, Data Science, Semantic Web, Trustworthy AI


KIT Functions and Competence Field

Cognition and Information Engineering