Marcus Klang

Researcher

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, 2020, LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Moreno, A., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association, p. 4501-4508 8 p. (LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings).

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

Marcus Klang, 2019 Sep 17, Ole Römers väg 3, Lund: Department of Computer Science, Lund University. 164 p.

Research output: ThesisDoctoral Thesis (compilation)

Marcus Klang & Pierre Nugues, 2018 Nov 7.

Research output: Contribution to conferencePaper, not in proceeding

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