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Number of items: 12.

Zopf, Markus (2019):
Towards Context-free Information Importance Estimation.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Zopf, Markus ; Botschen, Teresa ; Falke, Tobias ; Heinzerling, Benjamin ; Marasovic, Ana ; Mihaylov, Todor ; P. V. S., Avinesh ; Loza Mencía, Eneldo ; Fürnkranz, Johannes ; Frank, Anette (2018):
What's Important in a Text? An Extensive Evaluation of Linguistic Annotations for Summarization.
pp. 272-277, [Conference or Workshop Item]

Zopf, Markus (2018):
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, pp. 1687-1696,
Association for Computational Linguistics, Miyazaki, Japan, [Conference or Workshop Item]

Zopf, Markus ; Loza Mencía, Eneldo ; Fürnkranz, Johannes (2018):
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, pp. 1782-1791,
[Conference or Workshop Item]

Zopf, Markus (2018):
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), pp. 3228-3233,
[Conference or Workshop Item]

Zopf, Markus ; Peyrard, Maxime ; Eckle-Kohler, Judith (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, pp. 1535-1545,
The COLING 2016 Organizing Committee, Osaka, Japan, [Conference or Workshop Item]

Zopf, Markus ; Loza Mencía, Eneldo ; Fürnkranz, Johannes (2016):
Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization.
In: Proceedings of the 26th International Conference on Computational Linguistics, pp. 1071-1082,
Osaka, Japan, [Conference or Workshop Item]

Zopf, Markus ; Loza Mencía, Eneldo ; Fürnkranz, Johannes (2016):
Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization.
In: Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL 2016), pp. 84-94,
Association for Computational Linguistics, Berlin, Germany, [Conference or Workshop Item]

Zopf, Markus (2015):
SeqCluSum: Combining Sequential Clustering and Contextual Importance Measuring to Summarize Developing Events over Time.
In: Proceedings of the 24th Text Retrieval Conference,
National Institute of Standards and Technology, Gaithersburg, Maryland, USA, [Conference or Workshop Item]

Zopf, Markus (2015):
A Comparison Between the Usage of Flat and Structured Game Trees for Move Evaluation in Hearthstone.
Darmstadt, TU Darmstadt, [Master Thesis]

Janssen, Frederik ; Zopf, Markus (2012):
The SeCo-Framework for Rule Learning.
Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2012, [Conference or Workshop Item]

Zopf, Markus (2010):
Ein Framework zur Entwicklung und Evaluation intelligenter Pokeragenten.
TU Darmstadt, [Master Thesis]

This list was generated on Sat Jun 19 01:06:57 2021 CEST.