A Sentence Simplification System for Improving Relation Extraction. - Christina Niklaus; Bernhard Bermeitinger; Siegfried Handschuh; André Freitas (COLING (Demos), 2016)

Graphene: Semantically-Linked Propositions in Open Information Extraction. - Matthias Cetto; Christina Niklaus; André Freitas; Siegfried Handschuh (COLING, 2018)

Graphene: a Context-Preserving Open Information Extraction System. - Matthias Cetto; Christina Niklaus; André Freitas; Siegfried Handschuh (COLING (Demos), 2018)

A Survey on Open Information Extraction. - Christina Niklaus; Matthias Cetto; André Freitas; Siegfried Handschuh (COLING, 2018)

Transforming Complex Sentences into a Semantic Hierarchy. - Christina Niklaus; Matthias Cetto; André Freitas; Siegfried Handschuh (ACL (1), 2019)

DisSim: A Discourse-Aware Syntactic Text Simplification Framework for English and German. - Christina Niklaus; Matthias Cetto; André Freitas; Siegfried Handschuh (INLG, 2019)

MinWikiSplit: A Sentence Splitting Corpus with Minimal Propositions. - Christina Niklaus; André Freitas; Siegfried Handschuh (INLG, 2019)

DisSim: A Discourse-Aware Syntactic Text Simplification Frameworkfor English and German. - Christina Niklaus; Matthias Cetto; André Freitas; Siegfried Handschuh (CoRR, 2019)

AL: An Adaptive Learning Support System for Argumentation Skills. - Thiemo Wambsganss; Christina Niklaus; Matthias Cetto; Matthias Söllner 001; Siegfried Handschuh; Jan Marco Leimeister (CHI, 2020)

A Corpus for Argumentative Writing Support in German. - Thiemo Wambsganss; Christina Niklaus; Matthias Söllner 001; Siegfried Handschuh; Jan Marco Leimeister (COLING, 2020)

Supporting Cognitive and Emotional Empathic Writing of Students. - Thiemo Wambsganss; Christina Niklaus; Matthias Söllner 001; Siegfried Handschuh; Jan Marco Leimeister (ACL/IJCNLP (1), 2021)

Context-Preserving Text Simplification. - Christina Niklaus; Matthias Cetto; André Freitas; Siegfried Handschuh (CoRR, 2021)

Modeling Persuasive Discourse to Adaptively Support Students' Argumentative Writing. - Thiemo Wambsganss; Christina Niklaus (ACL (1), 2022)

Micro- and Macro-Level Features of NLP-Based Writing Tools in Higher Education. - Michael Burkhard; Sabine Seufert; Patcharin Panjaburee; Chailerd Pichitpornchai; Christina Niklaus (ICCE, 2022)

From Complex Sentences to a Formal Semantic Representation using Syntactic Text Simplification and Open Information Extraction. - Christina Niklaus (2022)

Textvereinfachung & Open IE: Von Sätzen zur Bedeutungsdarstellung. - Christina Niklaus (Ausgezeichnete Informatikdissertationen, 2022)

Enhancing Educational Dialogues: A Reinforcement Learning Approach for Generating AI Teacher Responses. - Thomas Huber 001; Christina Niklaus; Siegfried Handschuh (BEA@ACL, 2023)

Computer Supported Argumentation Learning: Design of a Learning Scenario in Academic Writing by Means of a Conjecture Map. - Michael Burkhard; Sabine Seufert; Reto Gubelmann; Christina Niklaus; Patcharin Panjaburee (CSEDU (1), 2023)

When Truth Matters - Addressing Pragmatic Categories in Natural Language Inference (NLI) by Large Language Models (LLMs). - Reto Gubelmann; Aikaterini-Lida Kalouli; Christina Niklaus; Siegfried Handschuh (*SEM@ACL, 2023)

Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions. - Christina Niklaus; Matthias Cetto; André Freitas; Siegfried Handschuh (CoRR, 2023)

Towards LLM-based Autograding for Short Textual Answers. - Johannes Schneider 002; Bernd Schenk; Christina Niklaus; Michalis Vlachos (CoRR, 2023)

A Canonical Context-Preserving Representation for Open IE: Extracting Semantically Typed Relational Tuples from Complex Sentences. - Christina Niklaus; Matthias Cetto; André Freitas; Siegfried Handschuh (Knowl. Based Syst., 2023)

Exploring the Usefulness of Open and Proprietary LLMs in Argumentative Writing Support. - Reto Gubelmann; Michael Burkhard; Rositsa V. Ivanova; Christina Niklaus; Bernhard Bermeitinger; Siegfried Handschuh (AIED Companion (2), 2024)

Towards LLM-Based Autograding for Short Textual Answers. - Johannes Schneider 002; Bernd Schenk; Christina Niklaus (CSEDU (1), 2024)

Let's discuss! Quality Dimensions and Annotated Datasets for Computational Argument Quality Assessment. - Rositsa V. Ivanova; Thomas Huber 001; Christina Niklaus (EMNLP, 2024)

Capturing the Varieties of Natural Language Inference: A Systematic Survey of Existing Datasets and Two Novel Benchmarks. - Reto Gubelmann; Ioannis Katis; Christina Niklaus; Siegfried Handschuh (J. Log. Lang. Inf., 2024)

LLMs meet Bloom's Taxonomy: A Cognitive View on Large Language Model Evaluations. - Thomas Huber 001; Christina Niklaus (COLING, 2025)