SeqCluSum: Combining Sequential Clustering and Contextual Importance Measuring to Summarize Developing Events over Time. - Markus Zopf (TREC, 2015)

Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization. - Markus Zopf; Eneldo Loza Mencía; Johannes Fürnkranz (COLING, 2016)

The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach. - Markus Zopf; Maxime Peyrard; Judith Eckle-Kohler (COLING, 2016)

Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization. - Markus Zopf; Eneldo Loza Mencía; Johannes Fürnkranz (CoNLL, 2016)

Auto-hMDS: Automatic Construction of a Large Heterogeneous Multilingual Multi-Document Summarization Corpus. - Markus Zopf (LREC, 2018)

Estimating Summary Quality with Pairwise Preferences. - Markus Zopf (NAACL-HLT, 2018)

Which Scores to Predict in Sentence Regression for Text Summarization? - Markus Zopf; Eneldo Loza Mencía; Johannes Fürnkranz (NAACL-HLT, 2018)

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

Learning Analogy-Preserving Sentence Embeddings for Answer Selection. - Aïssatou Diallo; Markus Zopf; Johannes Fürnkranz (CoNLL, 2019)

Improving Answer Selection with Analogy-Preserving Sentence Embeddings. - Aïssatou Diallo; Markus Zopf; Johannes Fürnkranz (LWDA, 2019)

Towards Context-free Information Importance Estimation. - Markus Zopf (2019)

Permutation Learning via Lehmer Codes. - Aïssatou Diallo; Markus Zopf; Johannes Fürnkranz (ECAI, 2020)

Effective and Interpretable Information Aggregation with Capacity Networks. - Markus Zopf (IJCNN, 2022)

1-WL Expressiveness Is (Almost) All You Need. - Markus Zopf (IJCNN, 2022)

Graph Reasoning Networks. - Markus Zopf; Francesco Alesiani (CoRR, 2024)