93 Publikationen

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  • [93]
    2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987034 OA
    Lachenmaier, C.; Lumer, E.; Buschmeier, H.; Zarrieß, S. (2024): Towards understanding the entanglement of human stereotypes and system biases in human–robot interaction. In: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. S. 646–649.
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  • [92]
    2023 | Konferenzbeitrag | PUB-ID: 2985109 OA
    Bunzeck, B.; Zarrieß, S. (2023): GPT-wee: How Small Can a Small Language Model Really Get? In: Alex Warstadt; Aaron Mueller; Leshem Choshen; Ethan Wilcox; Chengxu Zhuang; Juan Ciro; Rafael Mosquera; Bhargavi Paranjabe; Adina Williams; Tal Linzen; Ryan Cotterell (Hrsg.): Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning. Singapore: Association for Computational Linguistics. S. 7-18.
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  • [91]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980942 OA
    Wojcik, P.; Bunzeck, B.; Zarrieß, S. (2023): The Wikipedia Republic of Literary Characters Journal of Cultural Analytics,8:(2)
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  • [90]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2986803
    Hoeken, S.; Spliethoff, S.; Schwandt, S.; Zarrieß, S.; Alaçam, Ö. (2023): Towards Detecting Lexical Change of Hate Speech in Historical Data. In: Nina Tahmasebi (Hrsg.): Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change. Stroudsburg, PA, USA: Association for Computational Linguistics. S. 100-111.
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  • [89]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969752 OA
    Schüz, S.; Gatt, A.; Zarrieß, S. (2023): Rethinking symbolic and visual context in Referring Expression Generation Frontiers in Artificial Intelligence,6: 18.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [88]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985222 OA
    Sieker, J.; Zarrieß, S. (2023): When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! Principle. In: Yonatan Belinkov; Sophie Hao; Jaap Jumelet; Najoung Kim; Arya McCarthy; Hosein Mohebbi; Association for Computational Linguistics (Hrsg.): Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP. S. 180–198.
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  • [87]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983376 OA
    Sieker, J.; Bott, O.; Solstad, T.; Zarrieß, S. (2023): Beyond the Bias: Unveiling the Quality of Implicit Causality Prompt Continuations in Language Models. In: C. Maria Keet; Hung-Yi Lee; Sina Zarrieß; Association for Computational Linguistics (Hrsg.): Proceedings of the 16th International Natural Language Generation Conference. S. 206–220.
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  • [86]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2979653 OA
    Lumer, E.; Lachenmaier, C.; Zarrieß, S.; Buschmeier, H. (2023): Indirect politeness of disconfirming answers to humans and robots. In: Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). S. 1808-1815.
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  • [85]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982902 OA
    Bunzeck, B.; Zarrieß, S. (2023): Entrenchment Matters: Investigating Positional and Constructional Sensitivity in Small and Large Language Models. In: Ellen Breitholtz; Shalom Lappin; Sharid Loaiciga; Nikolai Ilinykh; Simon Dobnik (Hrsg.): Proceedings of the 2023 CLASP Conference on Learning with Small Data (LSD). Stroudsburg, PA: Association for Computational Linguistics. S. 25-37.
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  • [84]
    2023 | Konferenzband | PUB-ID: 2984125
    C. Maria Keet; Hung-Yi Lee; Sina Zarrieß (Hrsg.) (2023): Proceedings of the 16th International Natural Language Generation Conference. Prague, Czechia: Association for Computational Linguistics.
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  • [83]
    2023 | Konferenzbeitrag | PUB-ID: 2984124
    Wagner, J.; Zarrieß, S. (2023): Probing BERT's ability to encode sentence modality and modal verb sense across varieties of English. In: Maxime Amblard; Ellen Breitholtz (Hrsg.): Proceedings of the 15th International Conference on Computational Semantics. Nancy, France: Association for Computational Linguistics. S. 28-38.
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  • [82]
    2023 | Konferenzbeitrag | PUB-ID: 2984123
    Brinner, M. F.; Zarrieß, S. (2023): Model Interpretability and Rationale Extraction by Input Mask Optimization. In: Anna Rogers; Jordan Boyd-Graber; Naoaki Okazaki (Hrsg.): Findings of the Association for Computational Linguistics: ACL 2023. Toronto, Canada: Association for Computational Linguistics. S. 13722-13744.
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  • [81]
    2023 | Konferenzbeitrag | PUB-ID: 2981214
    Hoeken, S.; Zarrieß, S.; Alaçam, Ö. (2023): Identifying Slurs and Lexical Hate Speech via Light-Weight Dimension Projection in Embedding Space. In: Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis. Toronto, Canada: Association for Computational Linguistics. S. 278-289.
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  • [80]
    2023 | Konferenzbeitrag | PUB-ID: 2979407
    Voigt, H.; Hombeck, J.; Meuschke, M.; Lawonn, K.; Zarrieß, S. (2023): Paparazzi: A Deep Dive into the Capabilities of Language and Vision Models for Grounding Viewpoint Descriptions. In: Findings of the Association for Computational Linguistics: EACL 2023. Dubrovnik, Croatia: Association for Computational Linguistics. S. 828-843.
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  • [79]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2961795 OA
    Betz, S.; Davids, R.; Müller, C.; Székély, E.; Wagner, P.; Weber, M. A.; Youssef-Baronfeind, C.; Zarrieß, S. (2022): Is there a hesitation bias for ambiguous color terms? In: Rüdiger Hoffmann (Hrsg.): Elektronische Sprachsignalverarbeitung 2022: Tagungsband der 33. Konferenz Sonderborg, 2.-4. März 2022 . Dresden: TuD. (Studientexte zur Sprachkommunikation, 103).
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  • [78]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969797
    Brinner, M. F.; Heger, T.; Zarrieß, S. (2022): Linking a Hypothesis Network From the Domain of Invasion Biology to a Corpus of Scientific Abstracts: The INAS Dataset. In: Proceedings of the first Workshop on Information Extraction from Scientific Publications. Stroudsburg, PA: Association for Computational Linguistics. S. 32-42.
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  • [77]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969796
    Voigt, H.; Meuschke, M.; Zarrieß, S.; Lawonn, K. (2022): KeywordScape: Visual Document Exploration using Contextualized Keyword Embeddings. In: Wanxiang Che; Ekaterina Shutova (Hrsg.): Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. Stroudsburg, PA: Association for Computational Linguistics. S. 137-147.
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  • [76]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965729
    Wagner, J.; Zarrieß, S. (2022): Do gender neutral affixes naturally reduce gender bias in static word embeddings? In: Robin Schaefer; Xiaoyu Bai; Manfred Stede; Torsten Zesch (Hrsg.): Proceedings of the 18th Conference on Natural Language Processing/Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 2022). Potsdam, Germany: KONVENS 2022 Organizers. S. 88-97.
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  • [75]
    2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2965495 OA
    Utescher, R.; Patee, A.; Maiwald, F.; Bruschke, J.; Hoppe, S.; Münster, S.; Niebling, F.; Zarrieß, S. (2022): Exploring Naming Inventories for Architectural Elements for Use in Multi-modal Machine Learning Applications. In: Laboratoire lausannois d’informatique et statistique textuelle (Hrsg.): . Lausanne.
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  • [74]
    2022 | Konferenzbeitrag | PUB-ID: 2965499
    Münster, S.; Bruschke, J.; Kröber, C.; Hoppe, S.; Maiwald, F.; Niebling, F.; Pattee, A.; Utescher, R.; Zarrieß, S. (2022): Multimodale KI zur Unterstützung geschichtswissenschaftlicher Quellenkritik-ein Forschungsaufriss. In: DHd2022: Kulturen des digitalen Gedächtnisses. Konferenzabstracts.
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  • [73]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967315
    Alaçam, Ö.; Ruppert, E.; Malhotra, G.; Biemann, C.; Zarrieß, S. (2022): Modeling Referential Gaze in Task-oriented Settings of Varying Referential Complexity. In: Yulan He; Heng Yi; Sujian Li; Yang Liu; Chua-Hui Chang (Hrsg.): Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022. Stroudsburg, PA: Association for Computational Linguistics. S. 197-210.
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  • [72]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967316
    Alaçam, Ö.; Schüz, S.; Wegrzyn, M.; Kißler, J.; Zarrieß, S. (2022): Exploring Semantic Spaces for Detecting Clustering and Switching in Verbal Fluency. In: Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics. (Coling, 29(2022). S. 178-191.
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  • [71]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967312
    Attari, N.; Schlangen, D.; Heckmann, M.; Wersing, H.; Zarrieß, S. (2022): Generating Coherent and Informative Descriptions for Groups of Visual Objects and Categories: A Simple Decoding Approach. In: Proceedings of the 15th International Conference on Natural Language Generation. Stroudsburg, PA: Association for Computational Linguistics. S. 110-120.
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  • [70]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967313
    Zarrieß, S.; Voigt, H.; Schlangen, D.; Sadler, P. (2022): Generating Landmark-based Manipulation Instructions from Image Pairs. In: Samira Shaikh; Thiago Ferreira; Amanda Stent (Hrsg.): Proceedings of the 15th International Conference on Natural Language Generation. Stroudsburg, PA: Association for Computational Linguistics. S. 203-211.
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  • [69]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965490 OA
    Reiter, N.; Sieker, J.; Guhr, S.; Gius, E.; Zarrieß, S. (2022): Exploring Text Recombination for Automatic Narrative Level Detection. In: Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). European Language Resources Association (ELRA). S. 3346-3353.
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  • [68]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965730
    Zarrieß, S.; Groener, H.; Solstad, T.; Bott, O. (2022): This isn't the bias you're looking for: Implicit causality, names and gender in German language models. In: Robin Schaefer; Xiaoyu Bai; Manfred Stede; Torsten Zesch (Hrsg.): Proceedings of the 18th Conference on Natural Language Processing/Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 2022). Potsdam, Germany: KONVENS 2022 Organizers. S. 129-134.
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  • [67]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965223
    Giesen, J.; Kahlmeyer, P.; Nussbaum, F.; Zarrieß, S. (2022): Leveraging the Wikipedia Graph for Evaluating Word Embeddings. In: Luc De Raedt (Hrsg.): Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22). California: International Joint Conferences on Artificial Intelligence Organization. S. 4136-4142.
    PUB | DOI
     
  • [66]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965224
    Voigt, H.; Alaçam, Ö.; Meuschke, M.; Lawonn, K.; Zarrieß, S. (2022): The Why and The How: A Survey on Natural Language Interaction in Visualization. In: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Stroudsburg, PA, USA: Association for Computational Linguistics. S. 348-374.
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  • [65]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2956208
    Wagner, P.; Zarrieß, S.; Cholin, J. (2021): Effects of time pressure and spontaneity on phonotactic innovations in German Dialogues. In: Interspeech 2021. Proceedings. ISCA. S. 3335-3339.
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  • [64]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2957091 OA
    Zarrieß, S.; Voigt, H.; Schüz, S. (2021): Decoding Methods in Neural Language Generation: A Survey Information,12:(9):355
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  • [63]
    2021 | Konferenzbeitrag | PUB-ID: 2955815
    Utescher, R.; Zarrieß, S. (2021): What Did This Castle Look like before? Exploring Referential Relations in Naturally Occurring Multimodal Texts. In: Proceedings of the Third Workshop on Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN). Kyiv, Ukraine: Association for Computational Linguistics. S. 53-60.
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  • [62]
    2021 | Konferenzbeitrag | PUB-ID: 2958059
    Schüz, S.; Zarrieß, S. (2021): Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation. In: Proceedings of the Reasoning and Interaction Conference (ReInAct 2021). Gothenburg, Sweden: Association for Computational Linguistics. S. 47-52.
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  • [61]
    2021 | Konferenzband | PUB-ID: 2957719
    Sina Zarrieß; Bos Johan; Rik van Noord; Lasha Abzianidze (Hrsg.) (2021): Proceedings of the 14th International Conference on Computational Semantics (IWCS). Groningen, The Netherlands (online): Association for Computational Linguistics.
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  • [60]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2956772
    Zarrieß, S.; Buschmeier, H.; Han, T.; Schüz, S. (2021): Decoding, fast and slow: A case study on balancing trade-offs in incremental, character-level pragmatic reasoning. In: Proceedings of the 14th International Conference on Natural Language Generation. S. 371–376.
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  • [59]
    2021 | Konferenzbeitrag | PUB-ID: 2955817
    Schüz, S.; Han, T.; Zarrieß, S. (2021): Diversity as a By-Product: Goal-oriented Language Generation Leads to Linguistic Variation. In: Proceedings of the 22nd Annual SIGdial Meeting on Discourse and Dialogue. Association for Computational Linguistics. S. Forthcoming.
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  • [58]
    2021 | Sammelwerksbeitrag | PUB-ID: 2955819
    Woijcik, P.; Picard, S.; Zarrieß, S. (2021): Oktoberfest. Zur Twitterisierung einer kulturellen Ikone. In: Stephanie Großmann (Hrsg.): O’zapft is!“ – Das Münchner Oktoberfest aus literatur- und kultursemiotischer Perspektive. Marburg: Schüren. ( Schriften zur Kultur- und Mediensemiotik, ).
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  • [57]
    2021 | Konferenzbeitrag | PUB-ID: 2955818
    Giesen, J.; Kahlmeyer, P.; Laue, S.; Mitterreiter, M.; Nussbaum, F.; Staudt, C.; Zarrieß, S. (2021): Method of Moments for Topic Models with Mixed Discrete and Continuous Features. In: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021. S. Forthcoming.
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  • [56]
    2021 | Konferenzbeitrag | PUB-ID: 2955816
    Voigt, H.; Meuschke, M.; Lawonn, K.; Zarrieß, S. (2021): Challenges in Designing Natural Language Interfaces for Complex Visual Models. In: Proceedings of the First Workshop on Bridging Human-Computer Interaction and Natural Language Processing. Online: Association for Computational Linguistics. S. 66-73.
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  • [55]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941473 OA
    Betz, S.; Székély, E.; Zarrieß, S.; Schröer, M.; Schade, L.; Wagner, P. (2020): Hesitation Processing Analysis Using Continuous Mouse-Tracking and Gamification. In: Andreas Wendemuth; Ronald Böck; Ingo Siegert (Hrsg.): Elektronische Sprachsignalverarbeitung 2020. Tagungsband der 31. Konferenz.. Dresden: TUD Press. (Studientexte zur Sprachkommunikation, 95). S. 85-92.
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  • [54]
    2020 | Konferenzbeitrag | PUB-ID: 2955806
    Rojowiec, R.; Götze, J.; Sadler, P.; Voigt, H.; Zarrieß, S.; Schlangen, D. (2020): From "Before'' to "After'': Generating Natural Language Instructions from Image Pairs in a Simple Visual Domain. In: Proceedings of the 13th International Conference on Natural Language Generation. Dublin, Ireland: Association for Computational Linguistics. S. 316-326.
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  • [53]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955804
    Schüz, S.; Zarrieß, S. (2020): Knowledge Supports Visual Language Grounding: A Case Study on Colour Terms. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Stroudsburg, PA, USA: Association for Computational Linguistics. S. 6536-6542.
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  • [52]
    2020 | Konferenzbeitrag | PUB-ID: 2955807
    Silberer, C.; Zarrieß, S.; Boleda, G. (2020): Object Naming in Language and Vision: A Survey and a New Dataset. In: Proceedings of the 12th Language Resources and Evaluation Conference. Marseille, France: European Language Resources Association. S. 5792-5801.
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  • [51]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955805
    Silberer, C.; Zarrieß, S.; Westera, M.; Boleda, G. (2020): Humans Meet Models on Object Naming: A New Dataset and Analysis. In: Proceedings of the 28th International Conference on Computational Linguistics. Stroudsburg, PA, USA: International Committee on Computational Linguistics. S. 1893-1905.
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  • [50]
    2019 | Konferenzbeitrag | PUB-ID: 2936376 OA
    Betz, S.; Zarrieß, S.; Székely, É.; Wagner, P. (2019): The greennn tree - lengthening position influences uncertainty perception. In: Proceedings of Interspeech. S. 3990-3994.
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  • [49]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2936777 OA
    Haake, K.; Schimke, S.; Betz, S.; Zarrieß, S. (2019): Do Hesitations Facilitate Processing of Partially Defective System Utterances? An Exploratory Eye Tracking Study. In: Proceedings of Interspeech. S. 1906-1910.
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  • [48]
    2019 | Konferenzbeitrag | PUB-ID: 2955814 OA
    Ilinykh, N.; Zarrieß, S.; Schlangen, D. (2019): Meet Up! A Corpus of Joint Activity Dialogues in a Visual Environment. In: Proceedings of the 23rd Workshop on the Semantics and Pragmatics of Dialogue - Full Papers. London, United Kingdom: SEMDIAL.
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  • [47]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955809
    Han, T.; Zarrieß, S. (2019): Sketch Me if You Can: Towards Generating Detailed Descriptions of Object Shape by Grounding in Images and Drawings. In: Proceedings of the 12th International Conference on Natural Language Generation. Stroudsburg, PA, USA: Association for Computational Linguistics. S. 136-140.
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  • [46]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955811
    Zarrieß, S.; Schlangen, D. (2019): Know What You Don’t Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Stroudsburg, PA, USA: Association for Computational Linguistics. S. 654-659.
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  • [45]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955810
    Ilinykh, N.; Zarrieß, S.; Schlangen, D. (2019): Tell Me More: A Dataset of Visual Scene Description Sequences. In: Proceedings of the 12th International Conference on Natural Language Generation. Stroudsburg, PA, USA: Association for Computational Linguistics. S. 152-157.
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  • [44]
    2019 | Konferenzbeitrag | PUB-ID: 2937291
    Ilinykh, N.; Zarrieß, S.; Schlangen, D. (2019): MeetUp! A Corpus of Joint Activity Dialogues in a Visual Environment. In: arXiv:1907.05084.
    PUB | arXiv
     
  • [43]
    2018 | Konferenzbeitrag | PUB-ID: 2930295 OA
    Han, T.; Zarrieß, S.; Komatani, K.; Schlangen, D. (2018): Learning to describe multimodally from parallel unimodal data? A pilot study on verbal and sketched object descriptions. In: Proceedings of the 22nd Workshop on the Semantics and Pragmatics of Dialogue (AixDial).
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  • [42]
    2018 | Konferenzbeitrag | PUB-ID: 2931465 OA
    Ilinykh, N.; Zarrieß, S.; Schlangen, D. (2018): The Task Matters. Comparing Image Captioning and Task-Based Dialogical Image Description. In: Proceedings of 11th International Conference on Natural Language Generation (INLG 2018).
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  • [41]
    2018 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2931335 OA
    Schlangen, D.; Diekmann, T.; Ilinykh, N.; Zarrieß, S. (2018): slurk – A Lightweight Interaction Server For Dialogue Experiments and Data Collection. In: Short Paper Proceedings of the 22nd Workshop on the Semantics and Pragmatics of Dialogue (AixDial / semdial 2018).
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  • [40]
    2018 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2931333 OA
    Schlangen, D.; Ilinykh, N.; Zarrieß, S. (2018): MeetUp! A Task For Modelling Visual Dialogue. In: Short Paper Proceedings of the 22nd Workshop on the Semantics and Pragmatics of Dialogue (AixDial / semdial 2018).
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  • [39]
    2018 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2931331 OA
    Schlangen, D.; Ilinykh, N.; Zarrieß, S. (2018): Visual Dialogue Needs Symmetry, Goals, andDynamics: The Example of the MeetUp Task. In: Proceedings of the 1st Workshop on Shortcomings in Vision and Language (SiVL) at ECCV 2018.
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  • [38]
    2018 | Konferenzbeitrag | PUB-ID: 2931430 OA
    Zarrieß, S.; Schlangen, D. (2018): Decoding Strategies for Neural Referring Expression Generation. In: Proceedings of INLG 2018.
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  • [37]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2918708 OA
    Lopez Gambino, M. S.; Zarrieß, S.; Schlangen, D. (2018): Testing Strategies For Bridging Time-To-Content In Spoken Dialogue Systems. In: Proceedings of the Ninth International Workshop on Spoken Dialogue Systems Technology (IWSDS 2018).
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  • [36]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2908804 OA
    Betz, S.; Zarrieß, S.; Wagner, P. (2017): Synthesized lengthening of function words - The fuzzy boundary between fluency and disfluency. In: Proceedings of the International Conference Fluency and Disfluency.
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  • [35]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913255 OA
    Betz, S.; Voße, J.; Zarrieß, S.; Wagner, P. (2017): Increasing Recall of Lengthening Detection via Semi-Automatic Classification. In: Proceedings of Interspeech. S. 1084-1088.
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  • [34]
    2017 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2909299
    Loth, S.; Zarrieß, S. (2017): Mouse-Tracking. Eine Methode zur automatischen Klassifizierung von Schwierigkeiten beim Textverstehen? In: Sandra Pappert (Hrsg.): .
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  • [33]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913008 OA
    Lopez Gambino, M. S.; Zarrieß, S.; Schlangen, D. (2017): Beyond On-Hold Messages: Conversational Time-Buying in Task-Oriented Dialogue. In: Kristina Jokinen; Manfred Stede; David DeVault; Annie Louis (Hrsg.): 18th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Proceedings of the conference. S. 241-246.
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  • [32]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913006 OA
    Zarrieß, S.; Schlangen, D. (2017): Deriving continous grounded meaning representations from referentially structured multimodal contexts. In: Proceedings of EMNLP 2017 -- Short Papers.
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  • [31]
    2017 | Konferenzbeitrag | Im Druck | PUB-ID: 2913049 OA
    Hough, J.; Zarrieß, S.; Schlangen, D. (In Press): Grounding Imperatives to Actions is Not Enough: A Challenge for Grounded NLU for Robots from Human-Human Data.
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  • [30]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2910540 OA
    Zarrieß, S.; Schlangen, D. (2017): Obtaining referential word meanings from visual and distributional information: Experiments on object naming. In: Proceedings of 55th annual meeting of the Association for Computational Linguistics (ACL). Vancouver.
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  • [29]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2908811 OA
    Zarrieß, S.; Schlangen, D. (2017): Is this a Child, a Girl, or a Car? Exploring the Contribution of Distributional Similarity to Learning Referential Word Meanings. In: Short Papers -- Proceedings of the Annual Meeting of the European Chapter of the Association for Computational Linguistics (EACL).
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  • [28]
    2017 | Konferenzbeitrag | PUB-ID: 2913606 OA
    Zarrieß, S.; Schlangen, D. (2017): Refer-iTTS: A System for Referring in Spoken Installments to Objects in Real-World Images. In: Proceedings of INLG 2017 (demo papers).
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  • [27]
    2017 | Konferenzbeitrag | Angenommen | PUB-ID: 2913605 OA
    Richardson, K.; Zarrieß, S.; Kuhn, J. (Accepted): The Code2Text Challenge: Text Generation in Source Code Libraries. In: Proceedings of INLG 2017 (shared task track).
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  • [26]
    2016 | Dissertation | PUB-ID: 2955821
    Zarrieß, S. (2016): Syntactic and referential choice in corpus-based generation: modeling source, context and interactions. Universität Stuttgart.
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  • [25]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903759 OA
    Zarrieß, S.; Schlangen, D. (2016): Easy Things First: Installments Improve Referring Expression Generation for Objects in Photographs. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016).
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  • [24]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903756 OA
    Schlangen, D.; Zarrieß, S.; Kennington, C. (2016): Resolving References to Objects in Photographs using the Words-As-Classifiers Model. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016). Berlin.
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  • [23]
    2016 | Datenpublikation | PUB-ID: 2901444
    Zarrieß, S.; Hough, J.; Kennington, C.; Manuvinakurike, R.; DeVault, D.; Fernández, R.; Schlangen, D. (2016): PentoRef: A Corpus of Spoken References in Task-oriented Dialogues. Bielefeld University. doi:10.4119/unibi/2901444
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  • [22]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903076 OA
    Zarrieß, S.; Hough, J.; Kennington, C.; Manuvinakurike, R.; DeVault, D.; Fernández, R.; Schlangen, D. (2016): PentoRef: A Corpus of Spoken References in Task-oriented Dialogues. In: 10th edition of the Language Resources and Evaluation Conference.
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  • [21]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905650 OA
    Zarrieß, S.; Schlangen, D. (2016): Towards Generating Colour Terms for Referents in Photographs: Prefer the Expected or the Unexpected? In: Proceedings of the 9th International Natural Language Generation conference. Edinburgh, UK: Association for Computational Linguistics. S. 246--255.
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  • [20]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2769458
    Zarrieß, S.; Loth, S.; Schlangen, D. (2015): Reading Times Predict the Quality of Generated Text Above and Beyond Human Ratings. In: Anya Belz; Albert Gatt; François Portet; Matthew Purver (Hrsg.): Proceedings of the 15th European Workshop on Natural Language Generation. BRIGHTON, East Sussex, United Kingdom: The Association for Computational Linguistics. S. 38-47.
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  • [19]
    2013 | Konferenzbeitrag | PUB-ID: 2955845
    Cetinoglu, Ö.; Zarrieß, S.; Kuhn, J. (2013): Dependency-based sentence simplification for increasing deep LFG parsing coverage. In: Proceedings of the LFG13 Conference. Debrecen, Hungary.
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  • [18]
    2013 | Konferenzbeitrag | PUB-ID: 2955828
    Zarrieß, S.; Richardson, K. (2013): An Automatic Method for Building a Data-to-Text Generator. In: Proceedings of the 14th {E}uropean Workshop on Natural Language Generation. Sofia, Bulgaria: Association for Computational Linguistics. S. 202-203.
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  • [17]
    2013 | Konferenzbeitrag | PUB-ID: 2955827
    Zarrieß, S.; Kuhn, J. (2013): Combining Referring Expression Generation and Surface Realization: A Corpus-Based Investigation of Architectures. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Sofia, Bulgaria: Association for Computational Linguistics. S. 1547-1557.
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  • [16]
    2013 | Konferenzbeitrag | PUB-ID: 2955826
    Berend, G.; Vincze, V.; Zarrieß, S.; Farkas, R. (2013): LFG-based Features for Noun Number and Article Grammatical Errors. In: Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task. Sofia, Bulgaria: Association for Computational Linguistics. S. 62-67.
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  • [15]
    2012 | Konferenzbeitrag | PUB-ID: 2955829
    Zarrieß, S.; Cahill, A.; Kuhn, J. (2012): To what extent does sentence-internal realisation reflect discourse context? A study on word order. In: Proceedings of the 13th Conference of the {E}uropean Chapter of the Association for Computational Linguistics. Avignon, France: Association for Computational Linguistics. S. 767-776.
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  • [14]
    2012 | Konferenzbeitrag | PUB-ID: 2955830
    Ziering, P.; Zarrieß, S.; Kuhn, J. (2012): A Corpus-based Study of the German Recipient Passive. In: Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12). Istanbul, Turkey: European Language Resources Association (ELRA). S. 1637-1644.
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  • [13]
    2012 | Konferenzbeitrag | PUB-ID: 2955831
    Bohnet, B.; Björkelund, A.; Kuhn, J.; Seeker, W.; Zarrieß, S. (2012): Generating Non-Projective Word Order in Statistical Linearization. In: Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning. Jeju Island, Korea: Association for Computational Linguistics. S. 928-939.
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  • [12]
    2011 | Konferenzbeitrag | PUB-ID: 2955832
    Zarrieß, S.; Cahill, A.; Kuhn, J. (2011): Underspecifying and Predicting Voice for Surface Realisation Ranking. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies. Portland, Oregon, USA: Association for Computational Linguistics. S. 1007-1017.
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  • [11]
    2010 | Konferenzbeitrag | PUB-ID: 2955843
    Kuhn, J.; Rohrer, C.; Zarrieß, S.; Butt, M.; King, T. H. (2010): Right Node Raising in Parsing and Generation. In: Proceedings of the LFG10 Conference. S. 332.
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  • [10]
    2010 | Konferenzbeitrag | PUB-ID: 2955842
    Zarrieß, S.; Kuhn, J. (2010): Reversing F-structure Rewriting for Generation from Meaning Representations. In: Proceedings of the LFG10 Conference. Ottawa, Canada.
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  • [9]
    2010 | Konferenzbeitrag | PUB-ID: 2955835
    Zarrieß, S.; Cahill, A.; Kuhn, J.; Rohrer, C. (2010): A Cross-Lingual Induction Technique for German Adverbial Participles. In: Proceedings of the 2010 Workshop on {NLP} and Linguistics: Finding the Common Ground. Uppsala, Sweden: Association for Computational Linguistics. S. 34-42.
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  • [8]
    2010 | Konferenzbeitrag | PUB-ID: 2955834
    Zarrieß, S.; Cahill, A.; Kuhn, J.; Rohrer, C. (2010): Cross-Lingual Induction for Deep Broad-Coverage Syntax: A Case Study on German Participles. In: Coling 2010: Posters. Beijing, China: Coling 2010 Organizing Committee. S. 1426-1434.
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  • [7]
    2010 | Konferenzbeitrag | PUB-ID: 2955833
    Dione, C. M. B.; Kuhn, J.; Zarrieß, S. (2010): Design and Development of Part-of-Speech-Tagging Resources for Wolof (Niger-Congo, spoken in Senegal). In: Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}'10). Valletta, Malta: European Language Resources Association (ELRA).
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  • [6]
    2009 | Konferenzbeitrag | PUB-ID: 2955841
    Zarrieß, S.; Kuhn, J. (2009): Paraphrases in LFG-based Broad-Coverage Semantics. In: Miriam Butt; Tracy Holloway King (Hrsg.): Proceedings of the LFG09 Conference. Cambridge.
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  • [5]
    2009 | Konferenzbeitrag | PUB-ID: 2955840
    Zarrieß, S. (2009): From parallel syntax towards parallel semantics: Porting an English LFG-based semantics to German. In: Proceedings of the Biennal GSCL Conference. S. 159-169.
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  • [4]
    2009 | Konferenzbeitrag | PUB-ID: 2955836
    Zarrieß, S. (2009): Developing German Semantics on the basis of Parallel LFG Grammars. In: Proceedings of the 2009 Workshop on Grammar Engineering Across Frameworks ({GEAF} 2009). Suntec, Singapore: Association for Computational Linguistics. S. 10-18.
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  • [3]
    2009 | Konferenzbeitrag | PUB-ID: 2955837
    Zarrieß, S.; Kuhn, J. (2009): Exploiting Translational Correspondences for Pattern-Independent MWE Identification. In: Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications ({MWE} 2009). Singapore: Association for Computational Linguistics. S. 23-30.
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  • [2]
    2008 | Zeitschriftenaufsatz | PUB-ID: 2955839
    Zarrieß, S.; Seeker, W. (2008): Finite-state rule deduction for parsing non-constituent coordination Finite State Methods and Natural Language Processing, 213.
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  • [1]
    2006 | Konferenzbeitrag | PUB-ID: 2955838
    Kawtrakul, A.; Suktarachan, M.; Ranaivo-Malancon, B.; Kuan, P.; Raina, A.; Sarkar, S.; Mari, A.; Zarrieß, S.; Murguia, E.; Saint-Dizier, P. (2006): A Conceptual Analysis of the Notion of Instrumentality via a Multilingual Analysis. In: Proceedings of the Third {ACL}-{SIGSEM} Workshop on Prepositions.
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