A survey on open information extraction C Niklaus, M Cetto, A Freitas, S Handschuh arXiv preprint arXiv:1806.05599, 2018 | 235 | 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 | 83 | 2020 |
Graphene: Semantically-linked propositions in open information extraction M Cetto, C Niklaus, A Freitas, S Handschuh arXiv preprint arXiv:1807.11276, 2018 | 57 | 2018 |
Transforming complex sentences into a semantic hierarchy C Niklaus, M Cetto, A Freitas, S Handschuh arXiv preprint arXiv:1906.01038, 2019 | 43 | 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 | 24 | 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 | 22 | 2021 |
MinWikiSplit: A sentence splitting corpus with minimal propositions C Niklaus, A Freitas, S Handschuh arXiv preprint arXiv:1909.12131, 2019 | 17 | 2019 |
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 | 15 | 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 |
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 | 14 | 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 | 6 | 2022 |
Towards llm-based autograding for short textual answers J Schneider, B Schenk, C Niklaus, M Vlachos arXiv preprint arXiv:2309.11508, 2023 | 5 | 2023 |
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 | 5 | 2023 |
From complex sentences to a formal semantic representation using syntactic text simplification and open information extraction C Niklaus Springer Nature, 2022 | 5 | 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 33 (1), 21-48, 2024 | 3 | 2024 |
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 |
Enhancing Educational Dialogues: A Reinforcement Learning Approach for Generating AI Teacher Responses T Huber, C Niklaus, S Handschuh Proceedings of the 18th Workshop on Innovative Use of NLP for Building …, 2023 | 1 | 2023 |
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 |