Seuraa
Christina Niklaus
Christina Niklaus
Vahvistettu sähköpostiosoite verkkotunnuksessa unisg.ch
Nimike
Viittaukset
Viittaukset
Vuosi
A survey on open information extraction
C Niklaus, M Cetto, A Freitas, S Handschuh
arXiv preprint arXiv:1806.05599, 2018
2352018
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
852020
Graphene: Semantically-linked propositions in open information extraction
M Cetto, C Niklaus, A Freitas, S Handschuh
arXiv preprint arXiv:1807.11276, 2018
572018
Transforming complex sentences into a semantic hierarchy
C Niklaus, M Cetto, A Freitas, S Handschuh
arXiv preprint arXiv:1906.01038, 2019
432019
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
402017
A corpus for argumentative writing support in German
T Wambsganss, C Niklaus, M Söllner, S Handschuh, JM Leimeister
arXiv preprint arXiv:2010.13674, 2020
242020
Supporting cognitive and emotional empathic writing of students
T Wambsganss, C Niklaus, M Söllner, S Handschuh, JM Leimeister
arXiv preprint arXiv:2105.14815, 2021
222021
MinWikiSplit: A sentence splitting corpus with minimal propositions
C Niklaus, A Freitas, S Handschuh
arXiv preprint arXiv:1909.12131, 2019
172019
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
152019
Graphene: a context-preserving open information extraction system
M Cetto, C Niklaus, A Freitas, S Handschuh
arXiv preprint arXiv:1808.09463, 2018
152018
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
142022
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
62022
Towards llm-based autograding for short textual answers
J Schneider, B Schenk, C Niklaus, M Vlachos
arXiv preprint arXiv:2309.11508, 2023
52023
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
52023
From complex sentences to a formal semantic representation using syntactic text simplification and open information extraction
C Niklaus
Springer Nature, 2022
52022
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
32024
Context-Preserving Text Simplification
C Niklaus, M Cetto, A Freitas, S Handschuh
arXiv preprint arXiv:2105.11178, 2021
32021
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
22022
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
12023
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
12023
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