Christina Niklaus

According to our database1, Christina Niklaus authored at least 25 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Capturing the Varieties of Natural Language Inference: A Systematic Survey of Existing Datasets and Two Novel Benchmarks.
J. Log. Lang. Inf., March, 2024

Let's discuss! Quality Dimensions and Annotated Datasets for Computational Argument Quality Assessment.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Towards LLM-Based Autograding for Short Textual Answers.
Proceedings of the 16th International Conference on Computer Supported Education, 2024

Exploring the Usefulness of Open and Proprietary LLMs in Argumentative Writing Support.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

2023
A Canonical Context-Preserving Representation for Open IE: Extracting Semantically Typed Relational Tuples from Complex Sentences.
Knowl. Based Syst., 2023

Towards LLM-based Autograding for Short Textual Answers.
CoRR, 2023

Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions.
CoRR, 2023

When Truth Matters - Addressing Pragmatic Categories in Natural Language Inference (NLI) by Large Language Models (LLMs).
Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics, 2023

Computer Supported Argumentation Learning: Design of a Learning Scenario in Academic Writing by Means of a Conjecture Map.
Proceedings of the 15th International Conference on Computer Supported Education, 2023

Enhancing Educational Dialogues: A Reinforcement Learning Approach for Generating AI Teacher Responses.
Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

2022
Textvereinfachung & Open IE: Von Sätzen zur Bedeutungsdarstellung.
Ausgezeichnete Informatikdissertationen, 2022

From Complex Sentences to a Formal Semantic Representation using Syntactic Text Simplification and Open Information Extraction.
PhD thesis, 2022

Modeling Persuasive Discourse to Adaptively Support Students' Argumentative Writing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Context-Preserving Text Simplification.
CoRR, 2021

Supporting Cognitive and Emotional Empathic Writing of Students.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
A Corpus for Argumentative Writing Support in German.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

AL: An Adaptive Learning Support System for Argumentation Skills.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
DisSim: A Discourse-Aware Syntactic Text Simplification Frameworkfor English and German.
CoRR, 2019

MinWikiSplit: A Sentence Splitting Corpus with Minimal Propositions.
Proceedings of the 12th International Conference on Natural Language Generation, 2019

DisSim: A Discourse-Aware Syntactic Text Simplification Framework for English and German.
Proceedings of the 12th International Conference on Natural Language Generation, 2019

Transforming Complex Sentences into a Semantic Hierarchy.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
A Survey on Open Information Extraction.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Graphene: a Context-Preserving Open Information Extraction System.
Proceedings of the COLING 2018, 2018

Graphene: Semantically-Linked Propositions in Open Information Extraction.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

2016
A Sentence Simplification System for Improving Relation Extraction.
Proceedings of the COLING 2016, 2016


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