Sina Zarrieß

Sina Zarrieß
Institution: Bielefeld University
Department: Bielefeld Faculty of Linguistics & Literary Studies
Position: Professor of Computational Linguistics

Natural language generation, language & vision, dialogue, computational semantics and pragmatics, computational models of reference in context, visual language grounding at the word, sentence and document level

  • Towards Understanding the Entanglement of Human Stereotypes and System Biases in Human-Robot Interaction (2024)

    Authors: Clara Lachenmaier, Eleonore Lumer, Hendrik Buschmeier, Sina Zarrieß

    Published at: ACM/IEEE International Conference on Human-Robot Interaction
    DOI: 10.1145/3610978.3640736

  • Plots Made Quickly: An Efficient Approach for Generating Visualizations from Natural Language Queries (2024)

    Authors: Henrik Voigt, Kai Lawonn, Sina Zarrieß

    Published at: 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings

  • Conceptual Pacts for Reference Resolution using Small, Dynamically Constructed Language Models: A Study in Puzzle Building Dialogues (2024)

    Authors: Julian Hough, Sina Zarrieß, Casey Kennington, David Schlangen, Massimo Poesio

    Published at: 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings

  • GPT-wee: How Small Can a Small Language Model Really Get? (2023)

    Authors: Bastian Bunzeck, Sina Zarrieß

    Published at: CoNLL 2023 - BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, Proceedings

  • Keeping an Eye on Context: Attention Allocation over Input Partitions in Referring Expression Generation (2023)

    Authors: Simeon Schüz, Sina Zarrieß

    Published at: Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge, MM-NLG 2023

  • When your Language Model cannot even do Determiners right: Probing for Anti-Presuppositions and the Maximize Presupposition! Principle (2023)

    Authors: Judith Sieker, Sina Zarrieß

    Published at: BlackboxNLP 2023 - Analyzing and Interpreting Neural Networks for NLP, Proceedings of the 6th Workshop

  • Towards Detecting Lexical Change of Hate Speech in Historical Data (2023)

    Authors: Sanne Hoeken, Sophie Spliethoff, Silke Schwandt, Sina Zarrieß, Özge Alaçam

    Published at: LChange 2023 - 4th International Workshop on Computational Approaches to Historical Language Change 2023, Proceedings

  • VIST5: An Adaptive, Retrieval-Augmented Language Model for Visualization-oriented Dialog (2023)

    Authors: Henrik Voigt, Nuno Carvalhais, Monique Meuschke, Markus Reichstein, Sina Zarrieß, Kai Lawonn

    Published at: EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings of the System Demonstrations

  • Exploring Naming Inventories for Architectural Elements for Use in Multi-modal Machine Learning Applications* (2023)

    Authors: Ronja Utescher, Aaron Pattee, Ferdinand Maiwald, Jonas Bruschke, Stephan Hoppe, Sander Münster, Florian Niebling, Sina Zarrieß

    Published at: CEUR Workshop Proceedings (Volume: 3602)

  • Model Interpretability and Rationale Extraction by Input Mask Optimization (2023)

    Authors: Marc Brinner, Sina Zarrieß

    Published at: Proceedings of the Annual Meeting of the Association for Computational Linguistics