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ORCIDJohannes Daxenberger
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2020 – today
- 2024
[c25]Benjamin Schiller, Johannes Daxenberger, Andreas Waldis, Iryna Gurevych:
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets. EMNLP 2024: 10870-10887- 2023
- [i12]Nina Mouhammad, Johannes Daxenberger, Benjamin Schiller, Ivan Habernal:
Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting. CoRR abs/2303.03053 (2023) - 2022
- [i11]Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych:
On the Effect of Sample and Topic Sizes for Argument Mining Datasets. CoRR abs/2205.11472 (2022) - 2021
- [j3]Benjamin Schiller
, Johannes Daxenberger, Iryna Gurevych:
Stance Detection Benchmark: How Robust is Your Stance Detection? Künstliche Intell. 35(3): 329-341 (2021) - [c24]Nandan Thakur, Nils Reimers, Johannes Daxenberger, Iryna Gurevych:
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks. NAACL-HLT 2021: 296-310 - [c23]Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych:
Aspect-Controlled Neural Argument Generation. NAACL-HLT 2021: 380-396 - [c22]Niklas Rach, Carolin Schindler, Isabel Feustel, Johannes Daxenberger, Wolfgang Minker, Stefan Ultes:
From Argument Search to Argumentative Dialogue: A Topic-independent Approach to Argument Acquisition for Dialogue Systems. SIGDIAL 2021: 368-379 - 2020
- [j2]Johannes Daxenberger, Benjamin Schiller, Chris Stahlhut, Erik Kaiser, Iryna Gurevych:
ArgumenText: Argument Classification and Clustering in a Generalized Search Scenario. Datenbank-Spektrum 20(2): 115-121 (2020) - [c21]Dietrich Trautmann, Johannes Daxenberger, Christian Stab, Hinrich Schütze, Iryna Gurevych:
Fine-Grained Argument Unit Recognition and Classification. AAAI 2020: 9048-9056 - [c20]Johannes Daxenberger, Iryna Gurevych:
Arguments as Social Good: Good Arguments in Times of Crisis. AI4SG@AAAI Fall Symposium 2020 - [c19]Steffen Eger, Johannes Daxenberger, Iryna Gurevych:
How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation. CoNLL 2020: 108-118 - [c18]Christopher Tauchmann, Johannes Daxenberger, Margot Mieskes:
The Influence of Input Data Complexity on Crowdsourcing Quality. IUI Companion 2020: 71-72 - [c17]Niklas Rach, Yuki Matsuda, Johannes Daxenberger, Stefan Ultes, Keiichi Yasumoto, Wolfgang Minker:
Evaluation of Argument Search Approaches in the Context of Argumentative Dialogue Systems. LREC 2020: 513-522 - [i10]Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych:
Stance Detection Benchmark: How Robust Is Your Stance Detection? CoRR abs/2001.01565 (2020) - [i9]Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych:
Aspect-Controlled Neural Argument Generation. CoRR abs/2005.00084 (2020) - [i8]Steffen Eger, Johannes Daxenberger, Iryna Gurevych:
How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation. CoRR abs/2006.09109 (2020) - [i7]Nandan Thakur, Nils Reimers, Johannes Daxenberger, Iryna Gurevych:
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks. CoRR abs/2010.08240 (2020)
2010 – 2019
- 2019
- [c16]Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab, Iryna Gurevych:
Classification and Clustering of Arguments with Contextualized Word Embeddings. ACL (1) 2019: 567-578 - [i6]Dietrich Trautmann, Johannes Daxenberger, Christian Stab, Hinrich Schütze, Iryna Gurevych:
Robust Argument Unit Recognition and Classification. CoRR abs/1904.09688 (2019) - [i5]Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab, Iryna Gurevych:
Classification and Clustering of Arguments with Contextualized Word Embeddings. CoRR abs/1906.09821 (2019) - 2018
- [c15]Steffen Eger, Johannes Daxenberger, Christian Stab, Iryna Gurevych:
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need! COLING 2018: 831-844 - [c14]Johannes Daxenberger, Marc Ziegele, Iryna Gurevych, Oliver Quiring:
Automatically Detecting Incivility in Online Discussions of News Media. eScience 2018: 318-319 - [c13]Christian Stab, Johannes Daxenberger, Chris Stahlhut, Tristan Miller, Benjamin Schiller, Christopher Tauchmann, Steffen Eger, Iryna Gurevych:
ArgumenText: Searching for Arguments in Heterogeneous Sources. NAACL-HLT (Demonstrations) 2018: 21-25 - [c12]Claudia Schulz, Steffen Eger, Johannes Daxenberger, Tobias Kahse, Iryna Gurevych:
Multi-Task Learning for Argumentation Mining in Low-Resource Settings. NAACL-HLT (2) 2018: 35-41 - [i4]Claudia Schulz, Steffen Eger, Johannes Daxenberger, Tobias Kahse, Iryna Gurevych:
Multi-Task Learning for Argumentation Mining in Low-Resource Settings. CoRR abs/1804.04083 (2018) - [i3]Steffen Eger, Johannes Daxenberger, Christian Stab, Iryna Gurevych:
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need! CoRR abs/1807.08998 (2018) - 2017
- [c11]Steffen Eger, Johannes Daxenberger, Iryna Gurevych:
Neural End-to-End Learning for Computational Argumentation Mining. ACL (1) 2017: 11-22 - [c10]Ofer Arazy, Hila Lifshitz-Assaf, Oded Nov, Johannes Daxenberger, Martina Balestra, Coye Cheshire:
On the "How" and "Why" of Emergent Role Behaviors in Wikipedia. CSCW 2017: 2039-2051 - [c9]Johannes Daxenberger, Susanne Görke, Darjush Siahdohoni, Iryna Gurevych, Doris Prechel:
Semantische Suche in Ausgestorbenen Sprachen: Eine Fallstudie für das Hethitische. DHd 2017 - [c8]Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, Iryna Gurevych:
What is the Essence of a Claim? Cross-Domain Claim Identification. EMNLP 2017: 2055-2066 - [c7]Maria Sukhareva, Francesco Fuscagni, Johannes Daxenberger, Susanne Görke, Doris Prechel, Iryna Gurevych:
Distantly Supervised POS Tagging of Low-Resource Languages under Extreme Data Sparsity: The Case of Hittite. LaTeCH@ACL 2017: 95-104 - [c6]Thomas Arnold, Johannes Daxenberger, Iryna Gurevych, Karsten Weihe:
Is Interaction More Important than Individual Performance?: A Study of Motifs in Wikia. WWW (Companion Volume) 2017: 1609-1617 - [i2]Steffen Eger, Johannes Daxenberger, Iryna Gurevych:
Neural End-to-End Learning for Computational Argumentation Mining. CoRR abs/1704.06104 (2017) - [i1]Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, Iryna Gurevych:
What is the Essence of a Claim? Cross-Domain Claim Identification. CoRR abs/1704.07203 (2017) - 2016
- [b1]Johannes Daxenberger:
The writing process in online mass collaboration NLP-supported approaches to analyzing collaborative revision and user Interaction. Darmstadt University of Technology, Germany, 2016 - [j1]Ofer Arazy, Johannes Daxenberger, Hila Lifshitz-Assaf, Oded Nov, Iryna Gurevych:
Turbulent Stability of Emergent Roles: The Dualistic Nature of Self-Organizing Knowledge Coproduction. Inf. Syst. Res. 27(4): 792-812 (2016) - [c5]Patrick Lerner, Andras Csanadi, Johannes Daxenberger, Lucie Flekova, Christian Ghanem, Ingo Kollar, Frank Fischer, Iryna Gurevych:
A User Interface for the Exploration of Manually and Automatically Coded Scientific Reasoning and Argumentation. ICLS 2016 - 2014
- [c4]Johannes Daxenberger, Oliver Ferschke, Iryna Gurevych, Torsten Zesch:
DKPro TC: A Java-based Framework for Supervised Learning Experiments on Textual Data. ACL (System Demonstrations) 2014: 61-66 - [c3]Johannes Daxenberger, Iryna Gurevych:
Automatically Detecting Corresponding Edit-Turn-Pairs in Wikipedia. ACL (2) 2014: 187-192 - 2013
- [c2]Johannes Daxenberger, Iryna Gurevych:
Automatically Classifying Edit Categories in Wikipedia Revisions. EMNLP 2013: 578-589 - [p1]Oliver Ferschke, Johannes Daxenberger, Iryna Gurevych:
A Survey of NLP Methods and Resources for Analyzing the Collaborative Writing Process in Wikipedia. The People's Web Meets NLP 2013: 121-160 - 2012
- [c1]Johannes Daxenberger, Iryna Gurevych:
A Corpus-Based Study of Edit Categories in Featured and Non-Featured Wikipedia Articles. COLING 2012: 711-726
Coauthor Index
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