| A survey on open information extraction C Niklaus, M Cetto, A Freitas, S Handschuh arXiv preprint arXiv:1806.05599, 2018 | 257 | 2018 |
| AL: An adaptive learning support system for argumentation skills T Wambsganss, C Niklaus, M Cetto, M Söllner, S Handschuh, ... Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020 | 100 | 2020 |
| Graphene: Semantically-linked propositions in open information extraction M Cetto, C Niklaus, A Freitas, S Handschuh arXiv preprint arXiv:1807.11276, 2018 | 64 | 2018 |
| Transforming complex sentences into a semantic hierarchy C Niklaus, M Cetto, A Freitas, S Handschuh arXiv preprint arXiv:1906.01038, 2019 | 51 | 2019 |
| A Sentence Simplification System for Improving Relation Extraction C Niklaus, B Bermeitinger, S Handschuh, A Freitas Proceedings of COLING 2016: System Demonstrations, 170-174, 2017 | 40 | 2017 |
| A corpus for argumentative writing support in German T Wambsganss, C Niklaus, M Söllner, S Handschuh, JM Leimeister arXiv preprint arXiv:2010.13674, 2020 | 28 | 2020 |
| Supporting cognitive and emotional empathic writing of students T Wambsganss, C Niklaus, M Söllner, S Handschuh, JM Leimeister arXiv preprint arXiv:2105.14815, 2021 | 23 | 2021 |
| Modeling persuasive discourse to adaptively support students’ argumentative writing T Wambsganss, C Niklaus Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 21 | 2022 |
| MinWikiSplit: A sentence splitting corpus with minimal propositions C Niklaus, A Freitas, S Handschuh arXiv preprint arXiv:1909.12131, 2019 | 21 | 2019 |
| Towards llm-based autograding for short textual answers J Schneider, B Schenk, C Niklaus arXiv preprint arXiv:2309.11508, 2023 | 20 | 2023 |
| DisSim: A Discourse-Aware Syntactic Text Simplification Framework for English and German C Niklaus, M Cetto, A Freitas, S Handschuh arXiv preprint arXiv:1909.12140, 2019 | 18 | 2019 |
| Graphene: a context-preserving open information extraction system M Cetto, C Niklaus, A Freitas, S Handschuh arXiv preprint arXiv:1808.09463, 2018 | 15 | 2018 |
| When truth matters-addressing pragmatic categories in natural language inference (NLI) by large language models (LLMs) R Gubelmann, AL Kalouli, C Niklaus, S Handschuh Proceedings of the 12th Joint Conference on Lexical and Computational …, 2023 | 13 | 2023 |
| Capturing the varieties of natural language inference: A systematic survey of existing datasets and two novel benchmarks R Gubelmann, I Katis, C Niklaus, S Handschuh Journal of Logic, Language and Information 33 (1), 21-48, 2024 | 10 | 2024 |
| A philosophically-informed contribution to the generalization problem of neural natural language inference: Shallow heuristics, bias, and the varieties of inference R Gubelmann, C Niklaus, S Handschuh Proceedings of the 3rd natural logic meets machine learning workshop (NALOMA …, 2022 | 8 | 2022 |
| From complex sentences to a formal semantic representation using syntactic text simplification and open information extraction C Niklaus Springer Nature, 2022 | 6 | 2022 |
| Context-Preserving Text Simplification C Niklaus, M Cetto, A Freitas, S Handschuh arXiv preprint arXiv:2105.11178, 2021 | 4 | 2021 |
| Exploring the Usefulness of Open and Proprietary LLMs in Argumentative Writing Support R Gubelmann, M Burkhard, RV Ivanova, C Niklaus, B Bermeitinger, ... International Conference on Artificial Intelligence in Education, 175-182, 2024 | 3 | 2024 |
| Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions C Niklaus, M Cetto, A Freitas, S Handschuh arXiv preprint arXiv:2308.00425, 2023 | 2 | 2023 |
| Computer Supported Argumentation Learning: Design of a Learning Scenario in Academic Writing by Means of a Conjecture Map. M Burkhard, S Seufert, R Gubelmann, C Niklaus, P Panjaburee CSEDU (1), 103-114, 2023 | 2 | 2023 |
Siegfried HandschuhChair of Data Science and Natural Language Processing, University of St.Gallenunisg.ch의 이메일 확인됨