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Markus Zopf
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2020 – today
- 2024
- [i4]Markus Zopf, Francesco Alesiani:
Graph Reasoning Networks. CoRR abs/2407.05816 (2024) - 2022
- [c13]Markus Zopf:
Effective and Interpretable Information Aggregation with Capacity Networks. IJCNN 2022: 1-8 - [c12]Markus Zopf:
1-WL Expressiveness Is (Almost) All You Need. IJCNN 2022: 1-8 - [i3]Markus Zopf:
1-WL Expressiveness Is (Almost) All You Need. CoRR abs/2202.10156 (2022) - [i2]Markus Zopf:
Effective and Interpretable Information Aggregation with Capacity Networks. CoRR abs/2207.12013 (2022) - 2020
- [c11]Aïssatou Diallo, Markus Zopf, Johannes Fürnkranz:
Permutation Learning via Lehmer Codes. ECAI 2020: 1095-1102
2010 – 2019
- 2019
- [b1]Markus Zopf:
Towards Context-free Information Importance Estimation. Darmstadt University of Technology, Germany, 2019 - [c10]Aïssatou Diallo, Markus Zopf, Johannes Fürnkranz:
Learning Analogy-Preserving Sentence Embeddings for Answer Selection. CoNLL 2019: 910-919 - [c9]Aïssatou Diallo, Markus Zopf, Johannes Fürnkranz:
Improving Answer Selection with Analogy-Preserving Sentence Embeddings. LWDA 2019: 84-88 - [i1]Aïssatou Diallo, Markus Zopf, Johannes Fürnkranz:
Learning Analogy-Preserving Sentence Embeddings for Answer Selection. CoRR abs/1910.05315 (2019) - 2018
- [c8]Markus Zopf:
Auto-hMDS: Automatic Construction of a Large Heterogeneous Multilingual Multi-Document Summarization Corpus. LREC 2018 - [c7]Markus Zopf:
Estimating Summary Quality with Pairwise Preferences. NAACL-HLT 2018: 1687-1696 - [c6]Markus Zopf, Eneldo Loza Mencía, Johannes Fürnkranz:
Which Scores to Predict in Sentence Regression for Text Summarization? NAACL-HLT 2018: 1782-1791 - [c5]Markus Zopf, Teresa Botschen, Tobias Falke, Benjamin Heinzerling, Ana Marasovic, Todor Mihaylov, Avinesh P. V. S., Eneldo Loza Mencía, Johannes Fürnkranz, Anette Frank:
What's Important in a Text? An Extensive Evaluation of Linguistic Annotations for Summarization. SNAMS 2018: 272-277 - 2016
- [c4]Markus Zopf, Eneldo Loza Mencía, Johannes Fürnkranz:
Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization. COLING 2016: 1071-1082 - [c3]Markus Zopf, Maxime Peyrard, Judith Eckle-Kohler:
The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach. COLING 2016: 1535-1545 - [c2]Markus Zopf, Eneldo Loza Mencía, Johannes Fürnkranz:
Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization. CoNLL 2016: 84-94 - 2015
- [c1]Markus Zopf:
SeqCluSum: Combining Sequential Clustering and Contextual Importance Measuring to Summarize Developing Events over Time. TREC 2015
Coauthor Index
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