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Automatic methods for identifying and connecting things such as persons, organizations, locations, etc. written using natural language. In addition, scalable methods and applications for processing and storing large collections of textual corpora.

Concretly, using multilingual open data sources such as Wikipedia and knowledge graphs such as Wikidata. A key step is to enrich these resources. This means researching methods which adds structure to enable usable information extraction in conjuction with machine learning to ultimately derive new connected knowledge.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

UKÄ subject classification

  • Computer Science
  • Language Technology (Computational Linguistics)

Free keywords

  • Natural Language Processing
  • Machine Learning
  • Artificial Intelligence
  • Entity Linking


Dive into the research topics where Marcus Klang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years

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