Marcus Klang

Doctoral Student

Research areas and keywords

UKÄ subject classification

  • Computer Science
  • Language Technology (Computational Linguistics)

Keywords

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

Research

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.

Recent research outputs

Marcus Klang & Pierre Nugues, 2018 Nov 7.

Research output: Contribution to conferencePaper, not in proceeding

Marcus Klang & Pierre Nugues, 2018 May, Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). p. 3426-3432

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Marcus Klang & Pierre Nugues, 2017, Proceedings of the 21st Nordic Conference of Computational Linguistics. Linköping University Electronic Press, (Linköping Electronic Conference Proceedings ; vol. 131).

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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