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Johannes Daxenberger
Johannes Daxenberger
formerly Ubiquitous Knowledge Processing (UKP) Lab, TU Darmstadt, now summetix GmbH
Bestätigte E-Mail-Adresse bei summetix.com
Titel
Zitiert von
Zitiert von
Jahr
Neural End-to-End Learning for Computational Argumentation Mining
S Eger, J Daxenberger, I Gurevych
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
1812017
Classification and clustering of arguments with contextualized word embeddings
N Reimers, B Schiller, T Beck, J Daxenberger, C Stab, I Gurevych
arXiv preprint arXiv:1906.09821, 2019
1452019
Argumentext: Searching for arguments in heterogeneous sources
C Stab, J Daxenberger, C Stahlhut, T Miller, B Schiller, C Tauchmann, ...
Proceedings of the 2018 conference of the North American chapter of the …, 2018
1012018
Augmented sbert: Data augmentation method for improving bi-encoders for pairwise sentence scoring tasks
N Thakur, N Reimers, J Daxenberger, I Gurevych
arXiv preprint arXiv:2010.08240, 2020
972020
Turbulent stability of emergent roles: The dualistic nature of self-organizing knowledge coproduction
O Arazy, J Daxenberger, H Lifshitz-Assaf, O Nov, I Gurevych
Information Systems Research 27 (4), 792-812, 2016
952016
What is the Essence of a Claim? Cross-Domain Claim Identification
J Daxenberger, S Eger, I Habernal, C Stab, I Gurevych
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
882017
Automatically Classifying Edit Categories in Wikipedia Revisions
J Daxenberger, I Gurevych
Conference on Empirical Methods in Natural Language Processing (EMNLP 2013), 2013
682013
Multi-Task Learning for Argumentation Mining in Low-Resource Settings
C Schulz, S Eger, J Daxenberger, T Kahse, I Gurevych
Proceedings of the 16th Annual Conference of the North American Chapter of …, 2018
672018
DKPro TC: A Java-based Framework for Supervised Learning Experiments on Textual Data
J Daxenberger, O Ferschke, I Gurevych, T Zesch
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
642014
A Corpus-Based Study of Edit Categories in Featured and Non-Featured Wikipedia Articles
J Daxenberger, I Gurevych
24th International Conference on Computational Linguistics (COLING), 2012
572012
Stance detection benchmark: How robust is your stance detection?
B Schiller, J Daxenberger, I Gurevych
KI-Künstliche Intelligenz, 1-13, 2021
522021
Fine-grained argument unit recognition and classification
D Trautmann, J Daxenberger, C Stab, H Schütze, I Gurevych
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9048-9056, 2020
512020
On the “How” and “Why” of Emergent Role Behaviors in Wikipedia
O Arazy, H Lifshitz-Assaf, O Nov, J Daxenberger, M Balestra, C Cheshire
Conference on Computer-Supported Cooperative Work and Social Computing, 2017
492017
Cross-lingual argumentation mining: Machine translation (and a bit of projection) is all you need!
S Eger, J Daxenberger, C Stab, I Gurevych
arXiv preprint arXiv:1807.08998, 2018
432018
Aspect-controlled neural argument generation
B Schiller, J Daxenberger, I Gurevych
arXiv preprint arXiv:2005.00084, 2020
342020
A Survey of NLP Methods and Resources for Analyzing the Collaborative Writing Process in Wikipedia
O Ferschke, J Daxenberger, I Gurevych
292013
Argumentext: argument classification and clustering in a generalized search scenario
J Daxenberger, B Schiller, C Stahlhut, E Kaiser, I Gurevych
Datenbank-Spektrum 20, 115-121, 2020
172020
Developing automated measures to predict incivility in public online discussions on the facebook sites of established news media
M Ziegele, J Daxenberger, O Quiring, I Gurevych
Proceedings of the 68th Annual Conference of the International Communication …, 2018
102018
How to probe sentence embeddings in low-resource languages: On structural design choices for probing task evaluation
S Eger, J Daxenberger, I Gurevych
arXiv preprint arXiv:2006.09109, 2020
92020
UKP TU-DA at GermEval 2017: Deep learning for aspect based sentiment detection
JU Lee, S Eger, J Daxenberger, I Gurevych
Proceedings of the GSCL GermEval Shared Task on Aspect-based Sentiment in …, 2017
92017
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