Personal information

Name
Markus Zopf, M.Sc.
Position
Doctoral Researcher
Affiliation
AIPHES, Knowledge Engineering Group
E-Mail

zopf(at)aiphes.tu-darmstadt.de (PGP key)

Phone
+49-6151-16 27816
Office
S2|02 E115
Address

Technische Universität Darmstadt
Fachbereich Informatik
Hochschulstraße 10
64289 Darmstadt
Germany

 

Research Interests

  • Machine Learning
  • Ranking Algorithms
  • Preference Learning
  • Natural Language Processing
  • Artificial Intelligence

Publications

  • Markus Zopf, Eneldo Loza Mencía, and Johannes Fürnkranz. 2016. Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization. In Proceedings of the 26th International Conference on Computational Linguistics, p. 1071-1082 [pdf]
  • Markus Zopf, Maxime Peyrard, and Judith Eckle-Kohler. 2016. The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach. In Proceedings of the 26th International Conference on Computational Linguistics, p. 1535-1545 [pdf]
  • Markus Zopf, Eneldo Loza Mencía, and Johannes Fürnkranz. 2016. Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization. In Proceedings of the 20th Conference on Computational Natural Language Learning [pdf]
  • Markus Zopf. 2015. SeqCluSum: Combining Sequential Clustering and Contextual Importance Measuring to Summarize Developing Events over Time. In Proceedings of The 24th Text Retrieval Conference [pdf]
  • Frederik Janssen and Markus Zopf. 2012. The SeCo-Framework for Rule Learning. In Proceedings of the German Workshop on Lernen, Wissen, Adaptivität

Reviewing

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