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Sina Zarrieß
Sina Zarriess
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- affiliation: University of Bielefeld, Germany
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2020 – today
- 2024
- [c67]Julian Hough, Sina Zarrieß, Casey Kennington, David Schlangen, Massimo Poesio:
Conceptual Pacts for Reference Resolution Using Small, Dynamically Constructed Language Models: A Study in Puzzle Building Dialogues. LREC/COLING 2024: 3689-3699 - [c66]Henrik Voigt, Kai Lawonn, Sina Zarrieß:
Plots Made Quickly: An Efficient Approach for Generating Visualizations from Natural Language Queries. LREC/COLING 2024: 12787-12793 - [c65]Sanne Hoeken, Sina Zarrieß, Özge Alaçam:
Hateful Word in Context Classification. EMNLP 2024: 172-186 - [c64]Özge Alaçam, Sanne Hoeken, Sina Zarrieß:
Eyes Don't Lie: Subjective Hate Annotation and Detection with Gaze. EMNLP 2024: 187-205 - [c63]Marc Brinner, Sina Zarrieß:
Rationalizing Transformer Predictions via End-To-End Differentiable Self-Training. EMNLP 2024: 11894-11907 - [c62]Judith Sieker, Simeon Junker, Ronja Utescher, Nazia Attari, Heiko Wersing, Hendrik Buschmeier, Sina Zarrieß:
The Illusion of Competence: Evaluating the Effect of Explanations on Users' Mental Models of Visual Question Answering Systems. EMNLP 2024: 19459-19475 - [c61]Yanran Chen, Hannes Gröner, Sina Zarrieß, Steffen Eger:
Evaluating Diversity in Automatic Poetry Generation. EMNLP 2024: 19671-19692 - [c60]Clara Lachenmaier
, Eleonore Lumer
Towards Understanding the Entanglement of Human Stereotypes and System Biases in Human-Robot Interaction. HRI (Companion) 2024: 646-649 - [c59]Simeon Junker, Sina Zarrieß:
Resilience through Scene Context in Visual Referring Expression Generation. INLG 2024: 344-357 - [c58]Tina Heger
Natural Language Hypotheses in Scientific Papers and How to Tame Them - Suggested Steps for Formalizing Complex Scientific Claims. RATIO 2024: 3-19 - [c57]Marc Brinner
Weakly Supervised Claim Localization in Scientific Abstracts. RATIO 2024: 20-38 - [c56]Özge Alaçam, Ronja Utescher, Hannes Gröner, Judith Sieker, Sina Zarrieß:
WikiScenes with Descriptions: Aligning Paragraphs and Sentences with Images in Wikipedia Articles. *SEM@NAACL 2024: 93-105 - [i11]Simeon Junker
Resilience through Scene Context in Visual Referring Expression Generation. CoRR abs/2404.12289 (2024) - [i10]Yanran Chen, Hannes Gröner, Sina Zarrieß, Steffen Eger:
Evaluating Diversity in Automatic Poetry Generation. CoRR abs/2406.15267 (2024) - [i9]Judith Sieker, Simeon Junker, Ronja Utescher, Nazia Attari, Heiko Wersing, Hendrik Buschmeier, Sina Zarrieß:
The Illusion of Competence: Evaluating the Effect of Explanations on Users' Mental Models of Visual Question Answering Systems. CoRR abs/2406.19170 (2024) - [i8]Amelie Sophie Robrecht
Towards an Analysis of Discourse and Interactional Pragmatic Reasoning Capabilities of Large Language Models. CoRR abs/2408.03074 (2024) - [i7]Bastian Bunzeck, Daniel Duran, Leonie Schade, Sina Zarrieß:
Small Language Models Like Small Vocabularies: Probing the Linguistic Abilities of Grapheme- and Phoneme-Based Baby Llamas. CoRR abs/2410.01487 (2024) - 2023
- [j2]Simeon Schüz
Rethinking symbolic and visual context in Referring Expression Generation. Frontiers Artif. Intell. 6 (2023) - [c55]Marc Brinner, Sina Zarrieß:
Model Interpretability and Rationale Extraction by Input Mask Optimization. ACL (Findings) 2023: 13722-13744 - [c54]Judith Sieker, Sina Zarrieß:
When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! Principle. BlackboxNLP@EMNLP 2023: 180-198 - [c53]Henrik Voigt, Jan N. Hombeck, Monique Meuschke, Kai Lawonn, Sina Zarrieß:
Paparazzi: A Deep Dive into the Capabilities of Language and Vision Models for Grounding Viewpoint Descriptions. EACL (Findings) 2023: 798-813 - [c52]Henrik Voigt, Nuno Carvalhais, Monique Meuschke, Markus Reichstein, Sina Zarrieß, Kai Lawonn:
VIST5: An Adaptive, Retrieval-Augmented Language Model for Visualization-oriented Dialog. EMNLP (Demos) 2023: 70-81 - [c51]Judith Sieker, Oliver Bott, Torgrim Solstad, Sina Zarrieß:
Beyond the Bias: Unveiling the Quality of Implicit Causality Prompt Continuations in Language Models. INLG 2023: 206-220 - [c50]Eleonore Lumer
Indirect Politeness of Disconfirming Answers to Humans and Robots. RO-MAN 2023: 1808-1815 - [c49]Sanne Hoeken, Sina Zarrieß, Özge Alaçam:
Identifying Slurs and Lexical Hate Speech via Light-Weight Dimension Projection in Embedding Space. WASSA@ACL 2023: 278-289 - [e1]C. Maria Keet, Hung-Yi Lee, Sina Zarrieß:
Proceedings of the 16th International Natural Language Generation Conference, INLG 2023, Prague, Czechia, September 11 - 15, 2023. Association for Computational Linguistics 2023, ISBN 979-8-89176-001-1 [contents] - [i6]Henrik Voigt, Jan N. Hombeck, Monique Meuschke, Kai Lawonn, Sina Zarrieß:
Paparazzi: A Deep Dive into the Capabilities of Language and Vision Models for Grounding Viewpoint Descriptions. CoRR abs/2302.10282 (2023) - 2022
- [c48]Özge Alaçam, Simeon Schüz
Exploring Semantic Spaces for Detecting Clustering and Switching in Verbal Fluency. COLING 2022: 178-191 - [c47]Ronja Utescher, Aaron Pattee, Ferdinand Maiwald, Jonas Bruschke, Stephan Hoppe, Sander Münster, Florian Niebling, Sina Zarrieß:
Exploring Naming Inventories for Architectural Elements for Use in Multi-modal Machine Learning Applications. COMHUM 2022: 95-105 - [c46]Sander Münster, Jonas Bruschke, Cindy Kröber, Stephan Hoppe, Ferdinand Maiwald, Florian Niebling, Aaron Pattee, Ronja Utescher, Sina Zarriess:
Multimodale KI zur Unterstützung geschichtswissenschaftlicher Quellenkritik - ein Forschungsaufriss. DHd 2022 - [c45]Henrik Voigt, Monique Meuschke, Sina Zarrieß, Kai Lawonn:
KeywordScape: Visual Document Exploration using Contextualized Keyword Embeddings. EMNLP (Demos) 2022: 137-147 - [c44]Joachim Giesen, Paul Kahlmeyer, Frank Nussbaum, Sina Zarrieß:
Leveraging the Wikipedia Graph for Evaluating Word Embeddings. IJCAI 2022: 4136-4142 - [c43]Özge Alaçam, Eugen Ruppert, Sina Zarrieß, Ganeshan Malhotra, Chris Biemann:
Modeling Referential Gaze in Task-oriented Settings of Varying Referential Complexity. AACL/IJCNLP (Findings) 2022: 197-210 - [c42]Jonas Wagner, Sina Zarrieß:
Do gender neutral affixes naturally reduce gender bias in static word embeddings? KONVENS 2022: 88-97 - [c41]Sina Zarrieß, Hannes Groener, Torgrim Solstad, Oliver Bott:
This isn't the bias you're looking for: Implicit causality, names and gender in German language models. KONVENS 2022: 129-134 - [c40]Nils Reiter, Judith Sieker, Svenja Guhr, Evelyn Gius, Sina Zarrieß:
Exploring Text Recombination for Automatic Narrative Level Detection. LREC 2022: 3346-3353 - [c39]Henrik Voigt, Özge Alaçam, Monique Meuschke, Kai Lawonn, Sina Zarrieß:
The Why and The How: A Survey on Natural Language Interaction in Visualization. NAACL-HLT 2022: 348-374 - 2021
- [j1]Sina Zarrieß
Decoding Methods in Neural Language Generation: A Survey. Inf. 12(9): 355 (2021) - [c38]Joachim Giesen, Paul Kahlmeyer, Sören Laue, Matthias Mitterreiter, Frank Nussbaum, Christoph Staudt, Sina Zarrieß:
Method of Moments for Topic Models with Mixed Discrete and Continuous Features. IJCAI 2021: 2418-2424 - [c37]Sina Zarrieß, Hendrik Buschmeier, Ting Han, Simeon Schüz
Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic Reasoning. INLG 2021: 371-376 - [c36]Petra Wagner
Effects of Time Pressure and Spontaneity on Phonotactic Innovations in German Dialogues. Interspeech 2021: 3335-3339 - [c35]Simeon Schüz
Diversity as a By-Product: Goal-oriented Language Generation Leads to Linguistic Variation. SIGDIAL 2021: 411-422 - [i5]Ting Han, Sina Zarrieß:
Enabling Robots to Draw and Tell: Towards Visually Grounded Multimodal Description Generation. CoRR abs/2101.12338 (2021) - 2020
- [c34]Simeon Schüz
Knowledge Supports Visual Language Grounding: A Case Study on Colour Terms. ACL 2020: 6536-6542 - [c33]Carina Silberer, Sina Zarrieß
Humans Meet Models on Object Naming: A New Dataset and Analysis. COLING 2020: 1893-1905 - [c32]Robin Rojowiec, Jana Götze, Philipp Sadler, Henrik Voigt, Sina Zarrieß, David Schlangen:
From "Before" to "After": Generating Natural Language Instructions from Image Pairs in a Simple Visual Domain. INLG 2020: 316-326 - [c31]Carina Silberer, Sina Zarrieß, Gemma Boleda:
Object Naming in Language and Vision: A Survey and a New Dataset. LREC 2020: 5792-5801
2010 – 2019
- 2019
- [c30]Sina Zarrieß
Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories. ACL (1) 2019: 654-659 - [c29]Ting Han, Sina Zarrieß:
Sketch Me if You Can: Towards Generating Detailed Descriptions of Object Shape by Grounding in Images and Drawings. INLG 2019: 136-140 - [c28]Nikolai Ilinykh, Sina Zarrieß, David Schlangen:
Tell Me More: A Dataset of Visual Scene Description Sequences. INLG 2019: 152-157 - [c27]Kristin Haake, Sarah Schimke, Simon Betz, Sina Zarrieß:
Do Hesitations Facilitate Processing of Partially Defective System Utterances? An Exploratory Eye Tracking Study. INTERSPEECH 2019: 1906-1910 - [c26]Simon Betz, Sina Zarrieß, Éva Székely, Petra Wagner:
The Greennn Tree - Lengthening Position Influences Uncertainty Perception. INTERSPEECH 2019: 3990-3994 - [i4]Sina Zarrieß, David Schlangen:
Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories. CoRR abs/1906.05518 (2019) - [i3]Nikolai Ilinykh, Sina Zarrieß, David Schlangen:
MeetUp! A Corpus of Joint Activity Dialogues in a Visual Environment. CoRR abs/1907.05084 (2019) - 2018
- [c25]Nikolai Ilinykh, Sina Zarrieß, David Schlangen:
The Task Matters: Comparing Image Captioning and Task-Based Dialogical Image Description. INLG 2018: 397-402 - [c24]Sina Zarrieß, David Schlangen:
Decoding Strategies for Neural Referring Expression Generation. INLG 2018: 503-512 - [c23]Soledad López Gambino, Sina Zarrieß, David Schlangen:
Testing Strategies For Bridging Time-To-Content In Spoken Dialogue Systems. IWSDS 2018: 103-109 - 2017
- [c22]Sina Zarrieß, David Schlangen:
Obtaining referential word meanings from visual and distributional information: Experiments on object naming. ACL (1) 2017: 243-254 - [c21]Sina Zarrieß, David Schlangen:
Is this a Child, a Girl or a Car? Exploring the Contribution of Distributional Similarity to Learning Referential Word Meanings. EACL (2) 2017: 86-91 - [c20]Sina Zarrieß, David Schlangen:
Deriving continous grounded meaning representations from referentially structured multimodal contexts. EMNLP 2017: 959-965 - [c19]Sina Zarrieß, Soledad López Gambino, David Schlangen:
Refer-iTTS: A System for Referring in Spoken Installments to Objects in Real-World Images. INLG 2017: 72-73 - [c18]Kyle Richardson, Sina Zarrieß, Jonas Kuhn:
The Code2Text Challenge: Text Generation in Source Libraries. INLG 2017: 115-119 - [c17]Simon Betz, Jana Voße, Sina Zarrieß, Petra Wagner:
Increasing Recall of Lengthening Detection via Semi-Automatic Classification. INTERSPEECH 2017: 1084-1088 - [c16]Soledad López Gambino, Sina Zarrieß, David Schlangen:
Beyond On-hold Messages: Conversational Time-buying in Task-oriented Dialogue. SIGDIAL Conference 2017: 241-246 - [i2]Kyle Richardson, Sina Zarrieß, Jonas Kuhn:
The Code2Text Challenge: Text Generation in Source Code Libraries. CoRR abs/1708.00098 (2017) - 2016
- [b1]Sina Zarrieß:
Syntactic and referential choice in corpus-based generation: modeling source, context and interactions. University of Stuttgart, 2016 - [c15]David Schlangen, Sina Zarrieß, Casey Kennington:
Resolving References to Objects in Photographs using the Words-As-Classifiers Model. ACL (1) 2016 - [c14]Sina Zarrieß, David Schlangen:
Easy Things First: Installments Improve Referring Expression Generation for Objects in Photographs. ACL (1) 2016 - [c13]Sina Zarrieß, David Schlangen:
Towards Generating Colour Terms for Referents in Photographs: Prefer the Expected or the Unexpected? INLG 2016: 246-255 - [c12]Sina Zarrieß, Julian Hough, Casey Kennington, Ramesh R. Manuvinakurike, David DeVault, Raquel Fernández, David Schlangen:
PentoRef: A Corpus of Spoken References in Task-oriented Dialogues. LREC 2016 - 2015
- [c11]Sina Zarrieß, Sebastian Loth, David Schlangen:
Reading Times Predict the Quality of Generated Text Above and Beyond Human Ratings. ENLG 2015: 38-47 - [i1]David Schlangen, Sina Zarrieß, Casey Kennington:
Resolving References to Objects in Photographs using the Words-As-Classifiers Model. CoRR abs/1510.02125 (2015) - 2013
- [c10]Sina Zarrieß, Jonas Kuhn:
Combining Referring Expression Generation and Surface Realization: A Corpus-Based Investigation of Architectures. ACL (1) 2013: 1547-1557 - [c9]Gábor Berend, Veronika Vincze, Sina Zarrieß, Richárd Farkas:
LFG-based Features for Noun Number and Article Grammatical Errors. CoNLL Shared Task 2013: 62-67 - [c8]Sina Zarrieß, Kyle Richardson:
An Automatic Method for Building a Data-to-Text Generator. ENLG 2013: 202-203 - 2012
- [c7]Sina Zarrieß, Aoife Cahill, Jonas Kuhn:
To what extent does sentence-internal realisation reflect discourse context? A study on word order. EACL 2012: 767-776 - [c6]Bernd Bohnet, Anders Björkelund, Jonas Kuhn, Wolfgang Seeker, Sina Zarrieß:
Generating Non-Projective Word Order in Statistical Linearization. EMNLP-CoNLL 2012: 928-939 - [c5]Patrick Ziering, Sina Zarrieß, Jonas Kuhn:
A Corpus-based Study of the German Recipient Passive. LREC 2012: 1637-1644 - 2011
- [c4]Sina Zarrieß, Aoife Cahill, Jonas Kuhn:
Underspecifying and Predicting Voice for Surface Realisation Ranking. ACL 2011: 1007-1017 - 2010
- [c3]Sina Zarrieß, Aoife Cahill, Jonas Kuhn, Christian Rohrer:
Cross-Lingual Induction for Deep Broad-Coverage Syntax: A Case Study on German Participles. COLING (Posters) 2010: 1426-1434 - [c2]Cheikh M. Bamba Dione, Jonas Kuhn, Sina Zarrieß:
Design and Development of Part-of-Speech-Tagging Resources for Wolof (Niger-Congo, spoken in Senegal). LREC 2010
2000 – 2009
- 2009
- [c1]Sina Zarrieß, Jonas Kuhn:
Exploiting Translational Correspondences for Pattern-Independent MWE Identification. MWE@IJCNLP 2009: 23-30
Coauthor Index
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