Michael Färber: Unterschied zwischen den Versionen
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* ''unarXive'': http://unarxive.org | * ''unarXive'': http://unarxive.org | ||
* ''Microsoft Academic Knowledge Graph'': http://ma-graph.org | * ''Microsoft Academic Knowledge Graph'': http://ma-graph.org | ||
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+ | Siehe auch https://sites.google.com/view/michaelfaerber | ||
+ | |Info EN=Michael Färber is a postdoctoral researcher with an assistant professorship role in Prof. Dr. York Sure-Vetter's Web Science group at the Institute AIFB of the Karlsruhe Institute of Technology (KIT), Germany, since April 2019. | ||
− | + | Michael's research interests are in '''natural language processing''', '''machine learning''', and the '''Semantic Web'''. His current main focus is on '''scholarly data mining'''. Michael has served as reviewer and PC member for various conferences and journals. More information can be found at his [homepage|https://sites.google.com/view/michaelfaerber] and on [https://scholar.google.de/citations?hl=en&user=Jb7JUOsAAAAJ Google Scholar]. | |
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+ | Open '''student assistant job (Hiwi)''' in the area of machine learning, natural language processing, and/or Semantic Web technologies: [https://www.aifb.kit.edu/images/c/cb/HiWi-Ausschreibung_ML_NLP_2019.pdf] | ||
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+ | Current calls for '''Bachelor/Master thesis''': | ||
{{#ask: [[Kategorie:Abschlussarbeit]] [[Betreuer::Michael Färber]] [[Abschlussarbeitsstatus::Offen]] | {{#ask: [[Kategorie:Abschlussarbeit]] [[Betreuer::Michael Färber]] [[Abschlussarbeitsstatus::Offen]] | ||
| ?Titel | | ?Titel | ||
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All topics are open to English and German speaking students. | All topics are open to English and German speaking students. | ||
− | Recently developed | + | Recently developed '''demonstration systems''': |
− | * PaperHunter: http://paperhunter.net | + | * ''PaperHunter'': http://paperhunter.net |
− | * ScholarSight: http://scholarsight.org | + | * ''ScholarSight'': http://scholarsight.org |
+ | |||
+ | Recently created data sets: | ||
+ | * ''unarXive'': http://unarxive.org | ||
+ | * ''Microsoft Academic Knowledge Graph'': http://ma-graph.org | ||
+ | |||
+ | See also https://sites.google.com/view/michaelfaerber | ||
|KIT Kompetenzfeld1=Cognition and Information Engineering | |KIT Kompetenzfeld1=Cognition and Information Engineering | ||
|Publikationen anzeigen=Ja | |Publikationen anzeigen=Ja |
Version vom 17. November 2019, 12:37 Uhr
-
Dr. Michael Färber
- Wissenschaftlicher Mitarbeiter
- Tel.:+49 721 608 465 92
- Email: michael faerber∂kit edu
- Raum: 5A-15 (Geb. 05.20)
- Forschungsgruppe: Web Science
- Sprechstunde nach Vereinbarung
- vCard
Offene Hiwi-Stelle im Bereich Machine Learning, Natural Language Processing, und/oder Semantic Web Technologies: [1].
Offene, ausgeschriebene Abschlussarbeitsthemen:
Titel | |
---|---|
Thema4420 | Wie fair sind Forscher? Eine Analyse von Zerrungen bzgl. Zitaten in wissenschaftlichen Publikationen |
Thema4423 | Automatically Recommending Citations for Texts Using Neural Networks |
Thema4574 | Deep Learning + Knowledge Graphs |
Thema4648 | Creating a Large Knowledge Graph about Scientific Publications for Innovation Forecast |
Thema4772 | GPT-3, BERT & Co.: When to use which language model? |
Thema4864 | Quantum Computing for Natural Language Processing |
Thema4909 | Scalable Graph Neural Networks on Knowledge Graphs |
Thema4910 | Performance Analysis of Graph Neural Diffusion via Fourier Decomposition |
Thema4977 | Knowledge Graphs for Robots’ Situational Awareness |
Anfragen zu weiteren Abschlussarbeitsthemen zu Themen wie
- Natural Language Processing (NLP) / Text Mining
- Angewandtes Machine Learning
- Semantic Web / Linked Data
- Big Data
- Data Science
gerne willkommen.
Kürzlich entwickelte und veröffentlichte Online-Demonstrationssysteme:
- PaperHunter: http://paperhunter.net
- ScholarSight: http://scholarsight.org
Kürzlich entwickelte und veröffentlichte Datensätze:
- unarXive: http://unarxive.org
- Microsoft Academic Knowledge Graph: http://ma-graph.org
Siehe auch https://sites.google.com/view/michaelfaerber
FAIRnets, KB-Statistics, Linked Crunchbase, Novel Triple Extraction
AWARE Ontology, CrunchBase Knowledge Graph, KORE 50^DYWC, Microsoft Academic Knowledge Graph, NewsBias2020, UnarXive, XLiD-Lexica
digilog@bw |
KIGLIS |
KIWI |
- Semantische Suche, Wissensrepräsentation, Maschinelles Lernen, Text Mining, Semantische Annotation, Informationsextraktion, Natürliche Sprachverarbeitung, Digitale Bibliotheken, Knowledge Discovery, Data Mining, Künstliche Intelligenz, Data Science, Semantic Web, Trustworthy AI
Cognition and Information Engineering