93 Publikationen
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2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987034Lachenmaier C, Lumer E, Buschmeier H, Zarrieß S. 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. 2024: 646–649.PUB | PDF | DOI
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985109Bunzeck B, Zarrieß S. GPT-wee: How Small Can a Small Language Model Really Get? In: Warstadt A, Mueller A, Choshen L, et al., eds. Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning. Stroudsburg, PA: Association for Computational Linguistics; 2023: 35-46.PUB | PDF | DOI | Download (ext.)
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2986803Hoeken S, Spliethoff S, Schwandt S, Zarrieß S, Alaçam Ö. Towards Detecting Lexical Change of Hate Speech in Historical Data. In: Tahmasebi N, ed. Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change. Stroudsburg, PA, USA: Association for Computational Linguistics; 2023: 100-111.PUB | DOI
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985222Sieker J, Zarrieß S. When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! Principle. In: Belinkov Y, Hao S, Jumelet J, et al., eds. Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP. 2023: 180–198.PUB | PDF | Download (ext.)
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983376Sieker J, Bott O, Solstad T, Zarrieß S. Beyond the Bias: Unveiling the Quality of Implicit Causality Prompt Continuations in Language Models. In: Keet CM, Lee H-Y, Zarrieß S, Association for Computational Linguistics, eds. Proceedings of the 16th International Natural Language Generation Conference. 2023: 206–220.PUB | PDF | Download (ext.)
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2979653Lumer E, Lachenmaier C, Zarrieß S, Buschmeier H. 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). 2023: 1808-1815.PUB | PDF | DOI
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982902Bunzeck B, Zarrieß S. Entrenchment Matters: Investigating Positional and Constructional Sensitivity in Small and Large Language Models. In: Breitholtz E, Lappin S, Loaiciga S, Ilinykh N, Dobnik S, eds. Proceedings of the 2023 CLASP Conference on Learning with Small Data (LSD). Stroudsburg, PA: Association for Computational Linguistics; 2023: 25-37.PUB | PDF
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2023 | Konferenzband | PUB-ID: 2984125Keet CM, Lee H-Y, Zarrieß S, eds. Proceedings of the 16th International Natural Language Generation Conference. Prague, Czechia: Association for Computational Linguistics; 2023.PUB
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2023 | Konferenzbeitrag | PUB-ID: 2984124Wagner J, Zarrieß S. Probing BERT's ability to encode sentence modality and modal verb sense across varieties of English. In: Amblard M, Breitholtz E, eds. Proceedings of the 15th International Conference on Computational Semantics. Nancy, France: Association for Computational Linguistics; 2023: 28-38.PUB
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2023 | Konferenzbeitrag | PUB-ID: 2984123Brinner MF, Zarrieß S. Model Interpretability and Rationale Extraction by Input Mask Optimization. In: Rogers A, Boyd-Graber J, Okazaki N, eds. Findings of the Association for Computational Linguistics: ACL 2023. Toronto, Canada: Association for Computational Linguistics; 2023: 13722-13744.PUB | DOI | Download (ext.)
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2023 | Konferenzbeitrag | PUB-ID: 2981214Hoeken S, Zarrieß S, Alaçam Ö. 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; 2023: 278-289.PUB
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2023 | Konferenzbeitrag | PUB-ID: 2979407Voigt H, Hombeck J, Meuschke M, Lawonn K, Zarrieß S. 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; 2023: 828-843.PUB
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2961795Betz S, Davids R, Müller C, et al. Is there a hesitation bias for ambiguous color terms? In: Hoffmann R, ed. Elektronische Sprachsignalverarbeitung 2022: Tagungsband der 33. Konferenz Sonderborg, 2.-4. März 2022 . Studientexte zur Sprachkommunikation. Vol 103. Dresden: TuD; 2022.PUB | PDF | Download (ext.)
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969797Brinner MF, Heger T, Zarrieß S. 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; 2022: 32-42.PUB | Download (ext.)
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969796Voigt H, Meuschke M, Zarrieß S, Lawonn K. KeywordScape: Visual Document Exploration using Contextualized Keyword Embeddings. In: Che W, Shutova E, eds. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. Stroudsburg, PA: Association for Computational Linguistics; 2022: 137-147.PUB | Download (ext.)
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965729Wagner J, Zarrieß S. Do gender neutral affixes naturally reduce gender bias in static word embeddings? In: Schaefer R, Bai X, Stede M, Zesch T, eds. Proceedings of the 18th Conference on Natural Language Processing/Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 2022). Potsdam, Germany: KONVENS 2022 Organizers; 2022: 88-97.PUB | Download (ext.)
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2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2965495Utescher R, Patee A, Maiwald F, et al. Exploring Naming Inventories for Architectural Elements for Use in Multi-modal Machine Learning Applications. Presented at the Workshop on Computational Methods in the Humanities 2022, Lausanne.PUB | PDF | Download (ext.)
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967315Alaçam Ö, Ruppert E, Malhotra G, Biemann C, Zarrieß S. Modeling Referential Gaze in Task-oriented Settings of Varying Referential Complexity. In: He Y, Yi H, Li S, Liu Y, Chang C-H, eds. Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022. Stroudsburg, PA: Association for Computational Linguistics; 2022: 197-210.PUB | Download (ext.)
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967316Alaçam Ö, Schüz S, Wegrzyn M, Kißler J, Zarrieß S. Exploring Semantic Spaces for Detecting Clustering and Switching in Verbal Fluency. In: Proceedings of the 29th International Conference on Computational Linguistics. Coling. Vol 29(2022). International Committee on Computational Linguistics; 2022: 178-191.PUB | Download (ext.)
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967312Attari N, Schlangen D, Heckmann M, Wersing H, Zarrieß S. 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; 2022: 110-120.PUB | Download (ext.)
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967313Zarrieß S, Voigt H, Schlangen D, Sadler P. Generating Landmark-based Manipulation Instructions from Image Pairs. In: Shaikh S, Ferreira T, Stent A, eds. Proceedings of the 15th International Conference on Natural Language Generation. Stroudsburg, PA: Association for Computational Linguistics; 2022: 203-211.PUB | Download (ext.)
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965490Reiter N, Sieker J, Guhr S, Gius E, Zarrieß S. 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); 2022: 3346-3353.PUB | PDF | Download (ext.)
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965730Zarrieß S, Groener H, Solstad T, Bott O. This isn't the bias you're looking for: Implicit causality, names and gender in German language models. In: Schaefer R, Bai X, Stede M, Zesch T, eds. Proceedings of the 18th Conference on Natural Language Processing/Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 2022). Potsdam, Germany: KONVENS 2022 Organizers; 2022: 129-134.PUB | Download (ext.)
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965223Giesen J, Kahlmeyer P, Nussbaum F, Zarrieß S. Leveraging the Wikipedia Graph for Evaluating Word Embeddings. In: De Raedt L, ed. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22). California: International Joint Conferences on Artificial Intelligence Organization; 2022: 4136-4142.PUB | DOI
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965224Voigt H, Alaçam Ö, Meuschke M, Lawonn K, Zarrieß S. 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; 2022: 348-374.PUB | DOI
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2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2956208Wagner P, Zarrieß S, Cholin J. Effects of time pressure and spontaneity on phonotactic innovations in German Dialogues. In: Interspeech 2021. Proceedings. ISCA; 2021: 3335-3339.PUB | DOI | Download (ext.)
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2021 | Konferenzbeitrag | PUB-ID: 2955815Utescher R, Zarrieß S. 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; 2021: 53-60.PUB | Download (ext.)
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2021 | Konferenzbeitrag | PUB-ID: 2958059Schüz S, Zarrieß S. Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation. In: Proceedings of the Reasoning and Interaction Conference (ReInAct 2021). Gothenburg, Sweden: Association for Computational Linguistics; 2021: 47-52.PUB | Download (ext.)
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2021 | Konferenzband | PUB-ID: 2957719Zarrieß S, Johan B, van Noord R, Abzianidze L, eds. Proceedings of the 14th International Conference on Computational Semantics (IWCS). Groningen, The Netherlands (online): Association for Computational Linguistics; 2021.PUB
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2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2956772Zarrieß S, Buschmeier H, Han T, Schüz S. 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. 2021: 371–376.PUB | Download (ext.)
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2021 | Konferenzbeitrag | PUB-ID: 2955817Schüz S, Han T, Zarrieß S. 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; 2021: Forthcoming.PUB
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2021 | Sammelwerksbeitrag | PUB-ID: 2955819Woijcik P, Picard S, Zarrieß S. Oktoberfest. Zur Twitterisierung einer kulturellen Ikone. In: Großmann S, ed. O’zapft is!“ – Das Münchner Oktoberfest aus literatur- und kultursemiotischer Perspektive. Schriften zur Kultur- und Mediensemiotik. Marburg: Schüren; 2021.PUB
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2021 | Konferenzbeitrag | PUB-ID: 2955818Giesen J, Kahlmeyer P, Laue S, et al. 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. 2021: Forthcoming.PUB
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2021 | Konferenzbeitrag | PUB-ID: 2955816Voigt H, Meuschke M, Lawonn K, Zarrieß S. 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; 2021: 66-73.PUB | Download (ext.)
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941473Betz S, Székély E, Zarrieß S, Schröer M, Schade L, Wagner P. Hesitation Processing Analysis Using Continuous Mouse-Tracking and Gamification. In: Wendemuth A, Böck R, Siegert I, eds. Elektronische Sprachsignalverarbeitung 2020. Tagungsband der 31. Konferenz. Studientexte zur Sprachkommunikation. Vol 95. Dresden: TUD Press; 2020: 85-92.PUB | PDF
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2020 | Konferenzbeitrag | PUB-ID: 2955806Rojowiec R, Götze J, Sadler P, Voigt H, Zarrieß S, Schlangen D. 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; 2020: 316-326.PUB | Download (ext.)
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955804Schüz S, Zarrieß S. 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; 2020: 6536-6542.PUB | DOI | Download (ext.)
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2020 | Konferenzbeitrag | PUB-ID: 2955807Silberer C, Zarrieß S, Boleda G. 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; 2020: 5792-5801.PUB | Download (ext.)
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955805Silberer C, Zarrieß S, Westera M, Boleda G. 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; 2020: 1893-1905.PUB | DOI | Download (ext.)
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2019 | Konferenzbeitrag | PUB-ID: 2955814Ilinykh N, Zarrieß S, Schlangen D. 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; 2019.PUB | PDF | Download (ext.)
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955809Han T, Zarrieß S. 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; 2019: 136-140.PUB | DOI | Download (ext.)
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955811Zarrieß S, Schlangen D. 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; 2019: 654-659.PUB | DOI | Download (ext.)
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955810Ilinykh N, Zarrieß S, Schlangen D. 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; 2019: 152-157.PUB | DOI | Download (ext.)
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2018 | Konferenzbeitrag | PUB-ID: 2930295Han T, Zarrieß S, Komatani K, Schlangen D. 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). 2018.PUB | PDF
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2018 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2931335Schlangen D, Diekmann T, Ilinykh N, Zarrieß S. 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). 2018.PUB | PDF
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2017 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2909299Loth S, Zarrieß S. Mouse-Tracking. Eine Methode zur automatischen Klassifizierung von Schwierigkeiten beim Textverstehen? Presented at the Wie leicht verständlich sind Leichte und Einfache Sprache? Faktoren, Methoden und Evidenzen, Bielefeld.PUB
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913008Lopez Gambino MS, Zarrieß S, Schlangen D. Beyond On-Hold Messages: Conversational Time-Buying in Task-Oriented Dialogue. In: Jokinen K, Stede M, DeVault D, Louis A, eds. 18th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Proceedings of the conference. 2017: 241-246.PUB | PDF | DOI
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2910540Zarrieß S, Schlangen D. 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; 2017.PUB | PDF
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2908811Zarrieß S, Schlangen D. 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). 2017.PUB | PDF
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2016 | Dissertation | PUB-ID: 2955821Zarrieß S. Syntactic and referential choice in corpus-based generation: modeling source, context and interactions. Universität Stuttgart; 2016.PUB
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903759Zarrieß S, Schlangen D. 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). 2016.PUB | PDF
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903756Schlangen D, Zarrieß S, Kennington C. 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; 2016.PUB | PDF
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2016 | Datenpublikation | PUB-ID: 2901444Zarrieß S, Hough J, Kennington C, et al. (2016): PentoRef: A Corpus of Spoken References in Task-oriented Dialogues. Bielefeld University. doi:10.4119/unibi/2901444.PUB | Dateien verfügbar
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905650Zarrieß S, Schlangen D. 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; 2016: 246--255.PUB | Dateien verfügbar
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2769458Zarrieß S, Loth S, Schlangen D. Reading Times Predict the Quality of Generated Text Above and Beyond Human Ratings. In: Belz A, Gatt A, Portet F, Purver M, eds. Proceedings of the 15th European Workshop on Natural Language Generation. BRIGHTON, East Sussex, United Kingdom: The Association for Computational Linguistics; 2015: 38-47.PUB | Download (ext.)
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2013 | Konferenzbeitrag | PUB-ID: 2955845Cetinoglu Ö, Zarrieß S, Kuhn J. Dependency-based sentence simplification for increasing deep LFG parsing coverage. In: Proceedings of the LFG13 Conference. Debrecen, Hungary; 2013.PUB
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2013 | Konferenzbeitrag | PUB-ID: 2955828Zarrieß S, Richardson K. 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; 2013: 202-203.PUB | Download (ext.)
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2013 | Konferenzbeitrag | PUB-ID: 2955827Zarrieß S, Kuhn J. 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; 2013: 1547-1557.PUB | Download (ext.)
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2013 | Konferenzbeitrag | PUB-ID: 2955826Berend G, Vincze V, Zarrieß S, Farkas R. 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; 2013: 62-67.PUB | Download (ext.)
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2012 | Konferenzbeitrag | PUB-ID: 2955829Zarrieß S, Cahill A, Kuhn J. 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; 2012: 767-776.PUB | Download (ext.)
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2012 | Konferenzbeitrag | PUB-ID: 2955830Ziering P, Zarrieß S, Kuhn J. 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); 2012: 1637-1644.PUB | Download (ext.)
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2012 | Konferenzbeitrag | PUB-ID: 2955831Bohnet B, Björkelund A, Kuhn J, Seeker W, Zarrieß S. 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; 2012: 928-939.PUB | Download (ext.)
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2011 | Konferenzbeitrag | PUB-ID: 2955832Zarrieß S, Cahill A, Kuhn J. 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; 2011: 1007-1017.PUB | Download (ext.)
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2010 | Konferenzbeitrag | PUB-ID: 2955843Kuhn J, Rohrer C, Zarrieß S, Butt M, King TH. Right Node Raising in Parsing and Generation. In: Proceedings of the LFG10 Conference. 2010: 332.PUB
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2010 | Konferenzbeitrag | PUB-ID: 2955842Zarrieß S, Kuhn J. Reversing F-structure Rewriting for Generation from Meaning Representations. In: Proceedings of the LFG10 Conference. Ottawa, Canada; 2010.PUB
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2010 | Konferenzbeitrag | PUB-ID: 2955835Zarrieß S, Cahill A, Kuhn J, Rohrer C. 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; 2010: 34-42.PUB | Download (ext.)
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2010 | Konferenzbeitrag | PUB-ID: 2955834Zarrieß S, Cahill A, Kuhn J, Rohrer C. Cross-Lingual Induction for Deep Broad-Coverage Syntax: A Case Study on German Participles. In: Coling 2010: Posters. Beijing, China: Coling 2010 Organizing Committee; 2010: 1426-1434.PUB | Download (ext.)
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2010 | Konferenzbeitrag | PUB-ID: 2955833Dione CMB, Kuhn J, Zarrieß S. 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); 2010.PUB | Download (ext.)
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2009 | Konferenzbeitrag | PUB-ID: 2955841Zarrieß S, Kuhn J. Paraphrases in LFG-based Broad-Coverage Semantics. In: Butt M, Holloway King T, eds. Proceedings of the LFG09 Conference. Cambridge; 2009.PUB
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2009 | Konferenzbeitrag | PUB-ID: 2955840Zarrieß S. From parallel syntax towards parallel semantics: Porting an English LFG-based semantics to German. In: Proceedings of the Biennal GSCL Conference. 2009: 159-169.PUB
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2009 | Konferenzbeitrag | PUB-ID: 2955836Zarrieß S. 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; 2009: 10-18.PUB | Download (ext.)
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2009 | Konferenzbeitrag | PUB-ID: 2955837Zarrieß S, Kuhn J. 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; 2009: 23-30.PUB | Download (ext.)
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2008 | Zeitschriftenaufsatz | PUB-ID: 2955839Zarrieß S, Seeker W. Finite-state rule deduction for parsing non-constituent coordination. Finite State Methods and Natural Language Processing. 2008:213.PUB
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2006 | Konferenzbeitrag | PUB-ID: 2955838Kawtrakul A, Suktarachan M, Ranaivo-Malancon B, et al. A Conceptual Analysis of the Notion of Instrumentality via a Multilingual Analysis. In: Proceedings of the Third {ACL}-{SIGSEM} Workshop on Prepositions. 2006.PUB | Download (ext.)