Exploiting Translational Correspondences for Pattern-Independent MWE Identification. - Sina Zarrieß; Jonas Kuhn (MWE@IJCNLP, 2009)

Cross-Lingual Induction for Deep Broad-Coverage Syntax: A Case Study on German Participles. - Sina Zarrieß; Aoife Cahill; Jonas Kuhn; Christian Rohrer (COLING (Posters), 2010)

Design and Development of Part-of-Speech-Tagging Resources for Wolof (Niger-Congo, spoken in Senegal). - Cheikh M. Bamba Dione; Jonas Kuhn; Sina Zarrieß (LREC, 2010)

Underspecifying and Predicting Voice for Surface Realisation Ranking. - Sina Zarrieß; Aoife Cahill; Jonas Kuhn (ACL, 2011)

To what extent does sentence-internal realisation reflect discourse context? A study on word order. - Sina Zarrieß; Aoife Cahill; Jonas Kuhn (EACL, 2012)

Generating Non-Projective Word Order in Statistical Linearization. - Bernd Bohnet; Anders Björkelund; Jonas Kuhn; Wolfgang Seeker; Sina Zarrieß (EMNLP-CoNLL, 2012)

A Corpus-based Study of the German Recipient Passive. - Patrick Ziering; Sina Zarrieß; Jonas Kuhn (LREC, 2012)

Combining Referring Expression Generation and Surface Realization: A Corpus-Based Investigation of Architectures. - Sina Zarrieß; Jonas Kuhn (ACL (1), 2013)

LFG-based Features for Noun Number and Article Grammatical Errors. - Gábor Berend; Veronika Vincze; Sina Zarrieß; Richárd Farkas (CoNLL Shared Task, 2013)

An Automatic Method for Building a Data-to-Text Generator. - Sina Zarrieß; Kyle Richardson 001 (ENLG, 2013)

Reading Times Predict the Quality of Generated Text Above and Beyond Human Ratings. - Sina Zarrieß; Sebastian Loth; David Schlangen (ENLG, 2015)

Resolving References to Objects in Photographs using the Words-As-Classifiers Model. - David Schlangen; Sina Zarrieß; Casey Kennington (ACL (1), 2016)

Easy Things First: Installments Improve Referring Expression Generation for Objects in Photographs. - Sina Zarrieß; David Schlangen (ACL (1), 2016)

Towards Generating Colour Terms for Referents in Photographs: Prefer the Expected or the Unexpected? - Sina Zarrieß; David Schlangen (INLG, 2016)

PentoRef: A Corpus of Spoken References in Task-oriented Dialogues. - Sina Zarrieß; Julian Hough; Casey Kennington; Ramesh R. Manuvinakurike; David DeVault; Raquel Fernández; David Schlangen (LREC, 2016)

Syntactic and referential choice in corpus-based generation: modeling source, context and interactions. - Sina Zarrieß (2016)

Obtaining referential word meanings from visual and distributional information: Experiments on object naming. - Sina Zarrieß; David Schlangen (ACL (1), 2017)

Is this a Child, a Girl or a Car? Exploring the Contribution of Distributional Similarity to Learning Referential Word Meanings. - Sina Zarrieß; David Schlangen (EACL (2), 2017)

Deriving continous grounded meaning representations from referentially structured multimodal contexts. - Sina Zarrieß; David Schlangen (EMNLP, 2017)

The Code2Text Challenge: Text Generation in Source Libraries. - Kyle Richardson 001; Sina Zarrieß; Jonas Kuhn (INLG, 2017)

Refer-iTTS: A System for Referring in Spoken Installments to Objects in Real-World Images. - Sina Zarrieß; Soledad López Gambino; David Schlangen (INLG, 2017)

Increasing Recall of Lengthening Detection via Semi-Automatic Classification. - Simon Betz; Jana Voße; Sina Zarrieß; Petra Wagner (INTERSPEECH, 2017)

Beyond On-hold Messages: Conversational Time-buying in Task-oriented Dialogue. - Soledad López Gambino; Sina Zarrieß; David Schlangen (SIGDIAL Conference, 2017)

The Code2Text Challenge: Text Generation in Source Code Libraries. - Kyle Richardson 001; Sina Zarrieß; Jonas Kuhn (CoRR, 2017)

The Task Matters: Comparing Image Captioning and Task-Based Dialogical Image Description. - Nikolai Ilinykh; Sina Zarrieß; David Schlangen (INLG, 2018)

Decoding Strategies for Neural Referring Expression Generation. - Sina Zarrieß; David Schlangen (INLG, 2018)

Testing Strategies For Bridging Time-To-Content In Spoken Dialogue Systems. - Soledad López Gambino; Sina Zarrieß; David Schlangen (IWSDS, 2018)

Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories. - Sina Zarrieß; David Schlangen (ACL (1), 2019)

Sketch Me if You Can: Towards Generating Detailed Descriptions of Object Shape by Grounding in Images and Drawings. - Ting Han; Sina Zarrieß (INLG, 2019)

Tell Me More: A Dataset of Visual Scene Description Sequences. - Nikolai Ilinykh; Sina Zarrieß; David Schlangen (INLG, 2019)

The Greennn Tree - Lengthening Position Influences Uncertainty Perception. - Simon Betz; Sina Zarrieß; Éva Székely; Petra Wagner (INTERSPEECH, 2019)

Do Hesitations Facilitate Processing of Partially Defective System Utterances? An Exploratory Eye Tracking Study. - Kristin Haake; Sarah Schimke; Simon Betz; Sina Zarrieß (INTERSPEECH, 2019)

MeetUp! A Corpus of Joint Activity Dialogues in a Visual Environment. - Nikolai Ilinykh; Sina Zarrieß; David Schlangen (CoRR, 2019)

Knowledge Supports Visual Language Grounding: A Case Study on Colour Terms. - Simeon Schüz; Sina Zarrieß (ACL, 2020)

Humans Meet Models on Object Naming: A New Dataset and Analysis. - Carina Silberer; Sina Zarrieß; Matthijs Westera; Gemma Boleda (COLING, 2020)

From "Before" to "After": Generating Natural Language Instructions from Image Pairs in a Simple Visual Domain. - Robin Rojowiec; Jana Götze; Philipp Sadler; Henrik Voigt; Sina Zarrieß; David Schlangen (INLG, 2020)

Object Naming in Language and Vision: A Survey and a New Dataset. - Carina Silberer; Sina Zarrieß; Gemma Boleda (LREC, 2020)

Method of Moments for Topic Models with Mixed Discrete and Continuous Features. - Joachim Giesen; Paul Kahlmeyer; Sören Laue; Matthias Mitterreiter; Frank Nussbaum; Christoph Staudt; Sina Zarrieß (IJCAI, 2021)

Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic Reasoning. - Sina Zarrieß; Hendrik Buschmeier; Ting Han; Simeon Schüz (INLG, 2021)

Effects of Time Pressure and Spontaneity on Phonotactic Innovations in German Dialogues. - Petra Wagner; Sina Zarrieß; Joana Cholin (Interspeech, 2021)

Diversity as a By-Product: Goal-oriented Language Generation Leads to Linguistic Variation. - Simeon Schüz; Ting Han; Sina Zarrieß (SIGDIAL, 2021)

Enabling Robots to Draw and Tell: Towards Visually Grounded Multimodal Description Generation. - Ting Han; Sina Zarrieß (CoRR, 2021)

Decoding Methods in Neural Language Generation: A Survey. - Sina Zarrieß; Henrik Voigt; Simeon Schüz (Inf., 2021)

Exploring Semantic Spaces for Detecting Clustering and Switching in Verbal Fluency. - Özge Alaçam; Simeon Schüz; Martin Wegrzyn; Johanna Kißler; Sina Zarrieß (COLING, 2022)

Exploring Naming Inventories for Architectural Elements for Use in Multi-modal Machine Learning Applications. - Ronja Utescher; Aaron Pattee; Ferdinand Maiwald; Jonas Bruschke; Stephan Hoppe; Sander Münster; Florian Niebling; Sina Zarrieß (COMHUM, 2022)

Multimodale KI zur Unterstützung geschichtswissenschaftlicher Quellenkritik - ein Forschungsaufriss. - Sander Münster; Jonas Bruschke; Cindy Kröber; Stephan Hoppe; Ferdinand Maiwald; Florian Niebling; Aaron Pattee; Ronja Utescher; Sina Zarriess (DHd, 2022)

KeywordScape: Visual Document Exploration using Contextualized Keyword Embeddings. - Henrik Voigt; Monique Meuschke; Sina Zarrieß; Kai Lawonn (EMNLP (Demos), 2022)

Leveraging the Wikipedia Graph for Evaluating Word Embeddings. - Joachim Giesen; Paul Kahlmeyer; Frank Nussbaum; Sina Zarrieß (IJCAI, 2022)

Modeling Referential Gaze in Task-oriented Settings of Varying Referential Complexity. - Özge Alaçam; Eugen Ruppert; Sina Zarrieß; Ganeshan Malhotra; Chris Biemann (AACL/IJCNLP (Findings), 2022)

Do gender neutral affixes naturally reduce gender bias in static word embeddings? - Jonas Wagner; Sina Zarrieß (KONVENS, 2022)

This isn't the bias you're looking for: Implicit causality, names and gender in German language models. - Sina Zarrieß; Hannes Groener; Torgrim Solstad; Oliver Bott (KONVENS, 2022)

Exploring Text Recombination for Automatic Narrative Level Detection. - Nils Reiter; Judith Sieker; Svenja Guhr; Evelyn Gius; Sina Zarrieß (LREC, 2022)

The Why and The How: A Survey on Natural Language Interaction in Visualization. - Henrik Voigt; Özge Alaçam; Monique Meuschke; Kai Lawonn; Sina Zarrieß (NAACL-HLT, 2022)

Model Interpretability and Rationale Extraction by Input Mask Optimization. - Marc Felix Brinner; Sina Zarrieß (ACL (Findings), 2023)

When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! Principle. - Judith Sieker; Sina Zarrieß (BlackboxNLP@EMNLP, 2023)

Paparazzi: A Deep Dive into the Capabilities of Language and Vision Models for Grounding Viewpoint Descriptions. - Henrik Voigt; Jan N. Hombeck; Monique Meuschke; Kai Lawonn; Sina Zarrieß (EACL (Findings), 2023)

VIST5: An Adaptive, Retrieval-Augmented Language Model for Visualization-oriented Dialog. - Henrik Voigt; Nuno Carvalhais; Monique Meuschke; Markus Reichstein; Sina Zarrieß; Kai Lawonn (EMNLP (Demos), 2023)

Beyond the Bias: Unveiling the Quality of Implicit Causality Prompt Continuations in Language Models. - Judith Sieker; Oliver Bott; Torgrim Solstad; Sina Zarrieß (INLG, 2023)

Indirect Politeness of Disconfirming Answers to Humans and Robots. - Eleonore Lumer; Clara Lachenmaier; Sina Zarrieß; Hendrik Buschmeier (RO-MAN, 2023)

Identifying Slurs and Lexical Hate Speech via Light-Weight Dimension Projection in Embedding Space. - Sanne Hoeken; Sina Zarrieß; Özge Alaçam (WASSA@ACL, 2023)

Rethinking symbolic and visual context in Referring Expression Generation. - Simeon Schüz; Albert Gatt; Sina Zarrieß (Frontiers Artif. Intell., 2023)

Conceptual Pacts for Reference Resolution Using Small, Dynamically Constructed Language Models: A Study in Puzzle Building Dialogues. - Julian Hough; Sina Zarrieß; Casey Kennington; David Schlangen; Massimo Poesio (LREC/COLING, 2024)

Plots Made Quickly: An Efficient Approach for Generating Visualizations from Natural Language Queries. - Henrik Voigt; Kai Lawonn; Sina Zarrieß (LREC/COLING, 2024)

Eyes Don't Lie: Subjective Hate Annotation and Detection with Gaze. - Özge Alaçam; Sanne Hoeken; Sina Zarrieß (EMNLP, 2024)

Rationalizing Transformer Predictions via End-To-End Differentiable Self-Training. - Marc Felix Brinner; Sina Zarrieß (EMNLP, 2024)

Evaluating Diversity in Automatic Poetry Generation. - Yanran Chen; Hannes Gröner; Sina Zarrieß; Steffen Eger (EMNLP, 2024)

Hateful Word in Context Classification. - Sanne Hoeken; Sina Zarrieß; Özge Alaçam (EMNLP, 2024)

The Illusion of Competence: Evaluating the Effect of Explanations on Users' Mental Models of Visual Question Answering Systems. - Judith Sieker; Simeon Junker; Ronja Utescher; Nazia Attari; Heiko Wersing; Hendrik Buschmeier; Sina Zarrieß (EMNLP, 2024)

Towards Understanding the Entanglement of Human Stereotypes and System Biases in Human-Robot Interaction. - Clara Lachenmaier; Eleonore Lumer; Hendrik Buschmeier; Sina Zarrieß (HRI (Companion), 2024)

Resilience through Scene Context in Visual Referring Expression Generation. - Simeon Junker; Sina Zarrieß (INLG, 2024)

Weakly Supervised Claim Localization in Scientific Abstracts. - Marc Felix Brinner; Sina Zarrieß; Tina Heger (RATIO, 2024)

Natural Language Hypotheses in Scientific Papers and How to Tame Them - Suggested Steps for Formalizing Complex Scientific Claims. - Tina Heger; Alsayed Algergawy; Marc Felix Brinner; Jonathan M. Jeschke; Birgitta König-Ries; Daniel Mietchen; Sina Zarrieß (RATIO, 2024)

WikiScenes with Descriptions: Aligning Paragraphs and Sentences with Images in Wikipedia Articles. - Özge Alaçam; Ronja Utescher; Hannes Gröner; Judith Sieker; Sina Zarrieß (*SEM@NAACL, 2024)

Towards an Analysis of Discourse and Interactional Pragmatic Reasoning Capabilities of Large Language Models. - Amelie Sophie Robrecht; Judith Sieker; Clara Lachenmaier; Sina Zarrieß; Stefan Kopp (CoRR, 2024)

Small Language Models Like Small Vocabularies: Probing the Linguistic Abilities of Grapheme- and Phoneme-Based Baby Llamas. - Bastian Bunzeck; Daniel Duran 001; Leonie Schade; Sina Zarrieß (CoRR, 2024)

GerPS-Compare: Comparing NER methods for legal norm analysis. - Sarah T. Bachinger; Christoph Unger; Robin Erd; Leila Feddoul; Clara Lachenmaier; Sina Zarrieß; Birgitta König-Ries (CoRR, 2024)

Are Multimodal Large Language Models Pragmatically Competent Listeners in Simple Reference Resolution Tasks? - Simeon Junker; Manar Ali; Larissa Koch; Sina Zarrieß; Hendrik Buschmeier (ACL (Findings), 2025)

SceneGram: Conceptualizing and Describing Tangrams in Scene Context. - Simeon Junker; Sina Zarrieß (ACL (Findings), 2025)

Can LLMs Ground when they (Don't) Know: A Study on Direct and Loaded Political Questions. - Clara Lachenmaier; Judith Sieker; Sina Zarrieß (ACL (1), 2025)

Small Language Models Also Work With Small Vocabularies: Probing the Linguistic Abilities of Grapheme- and Phoneme-Based Baby Llamas. - Bastian Bunzeck; Daniel Duran 001; Leonie Schade; Sina Zarrieß (COLING, 2025)

Implicit Causality-biases in humans and LLMs as a tool for benchmarking LLM discourse capabilities. - Florian Kankowski; Torgrim Solstad; Sina Zarriess; Oliver Bott (CoRR, 2025)

Mining for Species, Locations, Habitats, and Ecosystems from Scientific Papers in Invasion Biology: A Large-Scale Exploratory Study with Large Language Models. - Jennifer D'Souza 001; Zachary M. Laubach; Tarek Al Mustafa; Sina Zarrieß; Robert Frühstückl; Phyllis Illari (CoRR, 2025)

Efficient Scientific Full Text Classification: The Case of EICAT Impact Assessments. - Marc Felix Brinner; Sina Zarrieß (CoRR, 2025)

Subword models struggle with word learning, but surprisal hides it. - Bastian Bunzeck; Sina Zarrieß (CoRR, 2025)

Do Construction Distributions Shape Formal Language Learning In German BabyLMs? - Bastian Bunzeck; Daniel Duran 001; Sina Zarrieß (CoRR, 2025)

Enhancing Domain-Specific Encoder Models with LLM-Generated Data: How to Leverage Ontologies, and How to Do Without Them. - Marc Felix Brinner; Tarek Al Mustafa; Sina Zarrieß (CoRR, 2025)

LLMs Struggle to Reject False Presuppositions when Misinformation Stakes are High. - Judith Sieker; Clara Lachenmaier; Sina Zarrieß (CoRR, 2025)

SemCSE: Semantic Contrastive Sentence Embeddings Using LLM-Generated Summaries For Scientific Abstracts. - Marc Felix Brinner; Sina Zarriess (CoRR, 2025)

LLM-Powered Virtual Patient Agents for Interactive Clinical Skills Training with Automated Feedback. - Henrik Voigt; Yurina Sugamiya; Kai Lawonn; Sina Zarrieß; Atsuo Takanishi (CoRR, 2025)