Markus Zopf

According to our database1, Markus Zopf authored at least 14 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
1-WL Expressiveness Is (Almost) All You Need.
Proceedings of the International Joint Conference on Neural Networks, 2022

Effective and Interpretable Information Aggregation with Capacity Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

2020
Permutation Learning via Lehmer Codes.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Towards Context-free Information Importance Estimation.
PhD thesis, 2019

Improving Answer Selection with Analogy-Preserving Sentence Embeddings.
Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

Learning Analogy-Preserving Sentence Embeddings for Answer Selection.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018
What's Important in a Text? An Extensive Evaluation of Linguistic Annotations for Summarization.
Proceedings of the Fifth International Conference on Social Networks Analysis, 2018

Which Scores to Predict in Sentence Regression for Text Summarization?
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Estimating Summary Quality with Pairwise Preferences.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Auto-hMDS: Automatic Construction of a Large Heterogeneous Multilingual Multi-Document Summarization Corpus.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

2016
Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach.
Proceedings of the COLING 2016, 2016

Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization.
Proceedings of the COLING 2016, 2016

2015
SeqCluSum: Combining Sequential Clustering and Contextual Importance Measuring to Summarize Developing Events over Time.
Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015


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