Parsing argumentation structures in persuasive essays C Stab, I Gurevych Computational Linguistics 43 (3), 619-659, 2017 | 521 | 2017 |
Identifying Argumentative Discourse Structures in Persuasive Essays C Stab, I Gurevych EMNLP 2014, 46-56, 2014 | 497 | 2014 |
Annotating Argument Components and Relations in Persuasive Essays C Stab, I Gurevych COLING 2014, 1501-1510, 2014 | 427 | 2014 |
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 | 224 | 2019 |
Cross-topic argument mining from heterogeneous sources using attention-based neural networks C Stab, T Miller, I Gurevych arXiv preprint arXiv:1802.05758, 2018 | 216 | 2018 |
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 | 125 | 2018 |
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 | 121 | 2017 |
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 | 119 | 2019 |
Recognizing Insufficiently Supported Arguments in Argumentative Essays C Stab, G Iryna EACL 2017, 980-990, 2017 | 99 | 2017 |
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 | 61 | 2020 |
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 | 61 | 2018 |
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 | 58 | 2014 |
Argumentation Mining in Persuasive Essays and Scientific Articles from the Discourse Structure Perspective C Stab, C Kirschner, J Eckle-Kohler, I Gurevych | 52 | 2014 |
Sematime-timeline visualization of time-dependent relations and semantics C Stab, K Nazemi, DW Fellner Advances in Visual Computing: 6th International Symposium, ISVC 2010, Las …, 2010 | 36 | 2010 |
A reference model for adaptive visualization systems K Nazemi, C Stab, A Kuijper Human-Computer Interaction. Design and Development Approaches: 14th …, 2011 | 35 | 2011 |
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 | 34 | 2016 |
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 | 29 | 2016 |
Cross-lingual argumentative relation identification: from English to Portuguese G Rocha, C Stab, HL Cardoso, I Gurevych Proceedings of the 5th Workshop on Argument Mining, 2018 Conference on …, 2018 | 26 | 2018 |
Argumentative writing support by means of natural language processing CME Stab Gesellschaft für Informatik eV, 2018 | 22 | 2018 |
Semantic visualization cockpit: adaptable composition of semantics-visualization techniques for knowledge-exploration K Nazemi, D Burkhardt, M Breyer, C Stab, DW Fellner | 22 | 2010 |