Johannes Daxenberger

According to our database, Johannes Daxenberger authored at least 32 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting.

Nina Mouhammad, Johannes Daxenberger, Benjamin Schiller, Ivan Habernal

CoRR, 2023

2022

On the Effect of Sample and Topic Sizes for Argument Mining Datasets.

Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych

CoRR, 2022

2021

Stance Detection Benchmark: How Robust is Your Stance Detection?

Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych

Künstliche Intell., 2021

From Argument Search to Argumentative Dialogue: A Topic-independent Approach to Argument Acquisition for Dialogue Systems.

Niklas Rach, Carolin Schindler, Isabel Feustel, Johannes Daxenberger, Wolfgang Minker, Stefan Ultes

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks.

Nandan Thakur, Nils Reimers, Johannes Daxenberger, Iryna Gurevych

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Aspect-Controlled Neural Argument Generation.

Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

ArgumenText: Argument Classification and Clustering in a Generalized Search Scenario.

Johannes Daxenberger, Benjamin Schiller, Chris Stahlhut, Erik Kaiser, Iryna Gurevych

Datenbank-Spektrum, 2020

Evaluation of Argument Search Approaches in the Context of Argumentative Dialogue Systems.

Niklas Rach, Yuki Matsuda, Johannes Daxenberger, Stefan Ultes, Keiichi Yasumoto, Wolfgang Minker

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

The Influence of Input Data Complexity on Crowdsourcing Quality.

Christopher Tauchmann, Johannes Daxenberger, Margot Mieskes

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation.

Steffen Eger, Johannes Daxenberger, Iryna Gurevych

Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

Arguments as Social Good: Good Arguments in Times of Crisis.

Johannes Daxenberger, Iryna Gurevych

Proceedings of the AAAI Fall Symposium on AI for Social Good, 2020

Fine-Grained Argument Unit Recognition and Classification.

Dietrich Trautmann, Johannes Daxenberger, Christian Stab, Hinrich Schütze, Iryna Gurevych

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Robust Argument Unit Recognition and Classification.

Dietrich Trautmann, Johannes Daxenberger, Christian Stab, Hinrich Schütze, Iryna Gurevych

CoRR, 2019

Classification and Clustering of Arguments with Contextualized Word Embeddings.

Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab, Iryna Gurevych

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

ArgumenText: Searching for Arguments in Heterogeneous Sources.

Christian Stab, Johannes Daxenberger, Chris Stahlhut, Tristan Miller, Benjamin Schiller, Christopher Tauchmann, Steffen Eger, Iryna Gurevych

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

Multi-Task Learning for Argumentation Mining in Low-Resource Settings.

Claudia Schulz, Steffen Eger, Johannes Daxenberger, Tobias Kahse, Iryna Gurevych

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Automatically Detecting Incivility in Online Discussions of News Media.

Johannes Daxenberger, Marc Ziegele, Iryna Gurevych, Oliver Quiring

Proceedings of the 14th IEEE International Conference on e-Science, 2018

Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!

Steffen Eger, Johannes Daxenberger, Christian Stab, Iryna Gurevych

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

Is Interaction More Important than Individual Performance?: A Study of Motifs in Wikia.

Thomas Arnold, Johannes Daxenberger, Iryna Gurevych, Karsten Weihe

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Distantly Supervised POS Tagging of Low-Resource Languages under Extreme Data Sparsity: The Case of Hittite.

Maria Sukhareva, Francesco Fuscagni, Johannes Daxenberger, Susanne Görke, Doris Prechel, Iryna Gurevych

Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, 2017

What is the Essence of a Claim? Cross-Domain Claim Identification.

Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, Iryna Gurevych

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Semantische Suche in Ausgestorbenen Sprachen: Eine Fallstudie für das Hethitische.

Johannes Daxenberger, Susanne Görke, Darjush Siahdohoni, Iryna Gurevych, Doris Prechel

Proceedings of the 4. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2017

On the "How" and "Why" of Emergent Role Behaviors in Wikipedia.

Ofer Arazy, Hila Lifshitz-Assaf, Oded Nov, Johannes Daxenberger, Martina Balestra, Coye Cheshire

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

Neural End-to-End Learning for Computational Argumentation Mining.

Steffen Eger, Johannes Daxenberger, Iryna Gurevych

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

The writing process in online mass collaboration NLP-supported approaches to analyzing collaborative revision and user Interaction.

Johannes Daxenberger

PhD thesis, 2016

Turbulent Stability of Emergent Roles: The Dualistic Nature of Self-Organizing Knowledge Coproduction.

Ofer Arazy, Johannes Daxenberger, Hila Lifshitz-Assaf, Oded Nov, Iryna Gurevych

Inf. Syst. Res., 2016

A User Interface for the Exploration of Manually and Automatically Coded Scientific Reasoning and Argumentation.

Patrick Lerner, Andras Csanadi, Johannes Daxenberger, Lucie Flekova, Christian Ghanem, Ingo Kollar, Frank Fischer, Iryna Gurevych

Proceedings of the Transforming Learning, 2016

2014

Automatically Detecting Corresponding Edit-Turn-Pairs in Wikipedia.

Johannes Daxenberger, Iryna Gurevych

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

DKPro TC: A Java-based Framework for Supervised Learning Experiments on Textual Data.

Johannes Daxenberger, Oliver Ferschke, Iryna Gurevych, Torsten Zesch

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

A Survey of NLP Methods and Resources for Analyzing the Collaborative Writing Process in Wikipedia.

Oliver Ferschke, Johannes Daxenberger, Iryna Gurevych

Proceedings of the People's Web Meets NLP, Collaboratively Constructed Language Resources, 2013

Automatically Classifying Edit Categories in Wikipedia Revisions.

Johannes Daxenberger, Iryna Gurevych

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012

A Corpus-Based Study of Edit Categories in Featured and Non-Featured Wikipedia Articles.

Johannes Daxenberger, Iryna Gurevych

Proceedings of the COLING 2012, 2012