Christian Stab
Christian Stab
Verified email at ukp.informatik.tu-darmstadt.de
Title
Cited by
Cited by
Year
Identifying Argumentative Discourse Structures in Persuasive Essays
C Stab, I Gurevych
EMNLP 2014, 46-56, 2014
3282014
Parsing argumentation structures in persuasive essays
C Stab, I Gurevych
Computational Linguistics 43 (3), 619-659, 2017
2762017
Annotating Argument Components and Relations in Persuasive Essays
C Stab, I Gurevych
COLING 2014, 1501-1510, 2014
2492014
Cross-topic argument mining from heterogeneous sources using attention-based neural networks
C Stab, T Miller, I Gurevych
arXiv preprint arXiv:1802.05758, 2018
862018
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
712018
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
682019
What is the essence of a claim? cross-domain claim identification
J Daxenberger, S Eger, I Habernal, C Stab, I Gurevych
arXiv preprint arXiv:1704.07203, 2017
542017
DKPro agreement: An open-source Java library for measuring inter-rater agreement
CM Meyer, M Mieskes, C Stab, I Gurevych
Proceedings of COLING 2014, the 25th International Conference on …, 2014
462014
Recognizing Insufficiently Supported Arguments in Argumentative Essays
C Stab, G Iryna
EACL 2017, 980-990, 2017
432017
Argumentation Mining in Persuasive Essays and Scientific Articles from the Discourse Structure Perspective
C Stab, C Kirschner, J Eckle-Kohler, I Gurevych
342014
Sematime-timeline visualization of time-dependent relations and semantics
C Stab, K Nazemi, DW Fellner
International symposium on visual computing, 514-523, 2010
332010
A reference model for adaptive visualization systems
K Nazemi, C Stab, A Kuijper
International Conference on Human-Computer Interaction, 480-489, 2011
322011
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
272018
A richly annotated corpus for different tasks in automated fact-checking
A Hanselowski, C Stab, C Schulz, Z Li, I Gurevych
arXiv preprint arXiv:1911.01214, 2019
262019
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
242020
Argumentation: Content, structure, and relationship with essay quality
BB Klebanov, C Stab, J Burstein, Y Song, B Gyawali, I Gurevych
Proceedings of the Third Workshop on Argument Mining (ArgMining2016), 70-75, 2016
212016
Recognizing the absence of opposing arguments in persuasive essays
C Stab, I Gurevych
Proceedings of the Third Workshop on Argument Mining (ArgMining2016), 113-118, 2016
212016
Semantic visualization cockpit: adaptable composition of semantics-visualization techniques for knowledge-exploration
K Namezi, D Burkhardt, M Breyer, C Stab, WD Fellner
International Conference Interactive Computer Aided Learning, 163-173, 2010
192010
SemaVis: A new approach for visualizing semantic information
K Nazemi, M Breyer, D Burkhardt, C Stab, J Kohlhammer
Towards the Internet of Services: The THESEUS Research Program, 191-202, 2014
162014
Interaction analysis for adaptive user interfaces
K Nazemi, C Stab, DW Fellner
International Conference on Intelligent Computing, 362-371, 2010
142010
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Articles 1–20