| Multi-Sentence Textual Entailment for Claim Verification A Hanselowski, H Zhang, Z Li, D Sorokin, B Schiller, C Schulz, I Gurevych Proceedings of the First Workshop on Fact Extraction and VERification (FEVER …, 2018 | 206* | 2018 |
| Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems S Eger, GG Sahin, A Rücklé, JU Lee, C Schulz, M Mesgar, K Swarnkar, ... arXiv preprint arXiv:1903.11508, 2019 | 154 | 2019 |
| 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 | 106 | 2019 |
| Multi-task learning for argumentation mining in low-resource settings C Schulz, S Eger, J Daxenberger, T Kahse, I Gurevych Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 83 | 2018 |
| Assumption-based argumentation: disputes, explanations, preferences K Cyras, X Fan, C Schulz, F Toni Handbook Of Formal Argumentation, 2018 | 82 | 2018 |
| Justifying answer sets using argumentation C Schulz, F Toni Theory and Practice of Logic Programming 16 (01), 59-110, 2016 | 75 | 2016 |
| Answering the “why” in answer set programming–A survey of explanation approaches J Fandinno, C Schulz Theory and Practice of Logic Programming 19 (2), 114-203, 2019 | 63 | 2019 |
| Blue sky ideas in artificial intelligence education from the EAAI 2017 new and future AI educator program E Eaton, S Koenig, C Schulz, F Maurelli, J Lee, J Eckroth, M Crowley, ... AI Matters 3 (4), 23-31, 2018 | 51 | 2018 |
| On the Equivalence between Assumption-Based Argumentation and Logic Programming M Caminada, C Schulz Journal of Artificial Intelligence Research 60, 779-825, 2017 | 33 | 2017 |
| Characterising and explaining inconsistency in logic programs C Schulz, K Satoh, F Toni International Conference on Logic Programming and Nonmonotonic Reasoning …, 2015 | 23 | 2015 |
| Logic programming in assumption-based argumentation revisited-semantics and graphical representation C Schulz, F Toni Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 22 | 2015 |
| Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains C Schulz, CM Meyer, J Kiesewetter, M Sailer, E Bauer, MR Fischer, ... arXiv preprint arXiv:1906.02564, 2019 | 20 | 2019 |
| Challenges in the Automatic Analysis of Students’ Diagnostic Reasoning C Schulz, CM Meyer, I Gurevych Proceedings of the AAAI Conference on Artificial Intelligence 33, 6974-6981, 2019 | 19 | 2019 |
| ABA-based answer set justification (technical communication) C Schulz, F Toni Theory and Practice of Logic Programming, 4-5, 2013 | 18* | 2013 |
| Labellings for assumption-based and abstract argumentation C Schulz, F Toni International Journal of Approximate Reasoning 84, 110-149, 2017 | 14 | 2017 |
| Complete Assumption Labellings. C Schulz, F Toni COMMA, 405-412, 2014 | 14 | 2014 |
| Capturing Bipolar Argumentation in Non-flat Assumption-Based Argumentation K Čyras, C Schulz, F Toni International Conference on Principles and Practice of Multi-Agent Systems …, 2017 | 13 | 2017 |
| Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer! C Schulz, D Juric Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8775-8782, 2020 | 11 | 2020 |
| Biomedical Concept Relatedness--A large EHR-based benchmark C Schulz, J Levy-Kramer, C Van Assel, M Kepes, N Hammerla arXiv preprint arXiv:2010.16218, 2020 | 10 | 2020 |
| Argumentation-based answer set justification C Schulz, M Sergot, F Toni Proc. of the 11th Intl. Symposium on Logical Formalizations of Commonsense …, 2013 | 10 | 2013 |
