| A survey on open information extraction C Niklaus, M Cetto, A Freitas, S Handschuh arXiv preprint arXiv:1806.05599, 2018 | 215 | 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 | 68 | 2020 |
| Graphene: Semantically-linked propositions in open information extraction M Cetto, C Niklaus, A Freitas, S Handschuh arXiv preprint arXiv:1807.11276, 2018 | 55 | 2018 |
| 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 | 38 | 2017 |
| Transforming complex sentences into a semantic hierarchy C Niklaus, M Cetto, A Freitas, S Handschuh arXiv preprint arXiv:1906.01038, 2019 | 35 | 2019 |
| Supporting cognitive and emotional empathic writing of students T Wambsganss, C Niklaus, M Söllner, S Handschuh, JM Leimeister arXiv preprint arXiv:2105.14815, 2021 | 18 | 2021 |
| A corpus for argumentative writing support in German T Wambsganss, C Niklaus, M Söllner, S Handschuh, JM Leimeister arXiv preprint arXiv:2010.13674, 2020 | 18 | 2020 |
| MinWikiSplit: A sentence splitting corpus with minimal propositions C Niklaus, A Freitas, S Handschuh arXiv preprint arXiv:1909.12131, 2019 | 15 | 2019 |
| Graphene: a context-preserving open information extraction system M Cetto, C Niklaus, A Freitas, S Handschuh arXiv preprint arXiv:1808.09463, 2018 | 13 | 2018 |
| 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 | 12 | 2019 |
| 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 | 10 | 2022 |
| 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 | 5 | 2022 |
| From complex sentences to a formal semantic representation using syntactic text simplification and open information extraction C Niklaus Springer Nature, 2022 | 4 | 2022 |
| Context-Preserving Text Simplification C Niklaus, M Cetto, A Freitas, S Handschuh arXiv preprint arXiv:2105.11178, 2021 | 3 | 2021 |
| Shallow discourse parsing for open information extraction and text simplification C Niklaus, A Freitas, S Handschuh Proceedings of the 3rd Workshop on Computational Approaches to Discourse, 64-76, 2022 | 2 | 2022 |
| A Canonical Context-Preserving Representation for Open IE: Extracting Semantically Typed Relational Tuples from Complex Sentences C Niklaus, M Cetto, A Freitas, S Handschuh Knowledge-Based Systems 268, 110455, 2023 | 1 | 2023 |
| Micro-and Macro-Level Features of NLP-Based Writing Tools in Higher Education M Burkhard, S Seufert, P Panjaburee, C Pichitpornchai, C Niklaus | 1 | 2022 |
| Review of AI-Enabled Assessments in Higher Education S Seufert, C Niklaus, S Handschuh | 1 | 2022 |
| 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, 1-28, 2023 | | 2023 |
| Towards LLM-based Autograding for Short Textual Answers J Schneider, B Schenk, C Niklaus, M Vlachos arXiv preprint arXiv:2309.11508, 2023 | | 2023 |
Siegfried HandschuhChair of Data Science and Natural Language Processing, University of St.GallenVerified email at unisg.ch
