Markus Zopf
First name(s): Markus
Last name(s): Zopf

Publications of Markus Zopf sorted by recency
Markus Zopf, auto-hMDS: Automatic Construction of a Large Heterogeneous Multilingual Multi-Document Summarization Corpus, in: Proceedings of the 11th edition of the Language Resources and Evaluation Conference (LREC 2018), pages (to appear), 2018
Markus Zopf, Estimating Summary Quality with Pairwise Preferences, in: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Miyazaki, Japan, pages (to appear), Association for Computational Linguistics, 2018
Markus Zopf, Eneldo Loza Mencía and Johannes Fürnkranz, Which Scores to Predict in Sentence Regression for Text Summarization?, in: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages (to appear), 2018
Markus Zopf, Maxime Peyrard and Judith Eckle{-}Kohler, 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, Osaka, Japan, pages 1535-1545, The COLING 2016 Organizing Committee, 2016
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Markus Zopf, Eneldo Loza Mencía and Johannes Fürnkranz, Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization, in: Proceedings of the 26th International Conference on Computational Linguistics, Osaka, Japan, pages 1071-1082, The COLING 2016 Organizing Committee, 2016
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Markus Zopf, Eneldo Loza Mencía and Johannes Fürnkranz, Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization, in: Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, Berlin, Germany, pages 84-94, Association for Computational Linguistics, 2016
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Markus Zopf, SeqCluSum: Combining Sequential Clustering and Contextual Importance Measuring to Summarize Developing Events over Time, in: The Twenty-Fourth Text Retrieval Conference Proceedings, Gaithersburg, Maryland, USA, National Institute of Standards and Technology, 2015
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Frederik Janssen and Markus Zopf, The SeCo-Framework for Rule Learning, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2012, Dortmund, Germany, 2012