93 Publikationen
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2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987034
Lachenmaier, C., Lumer, E., Buschmeier, H., Zarrieß, S.: Towards understanding the entanglement of human stereotypes and system biases in human–robot interaction. Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. p. 646–649. (2024).PUB | PDF | DOI -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985109
Bunzeck, B., Zarrieß, S.: GPT-wee: How Small Can a Small Language Model Really Get? In: Warstadt, A., Mueller, A., Choshen, L., Wilcox, E., Zhuang, C., Ciro, J., Mosquera, R., Paranjabe, B., Williams, A., Linzen, T., and Cotterell, R. (eds.) Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning. p. 35-46. Association for Computational Linguistics, Stroudsburg, PA (2023).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. p. 100-111. Association for Computational Linguistics, Stroudsburg, PA, USA (2023).PUB | DOI
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985222
Sieker, 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., Kim, N., McCarthy, A., Mohebbi, H., and Association for Computational Linguistics (eds.) Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP. p. 180–198. (2023).PUB | PDF | Download (ext.)
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983376
Sieker, J., Bott, O., Solstad, T., Zarrieß, S.: Beyond the Bias: Unveiling the Quality of Implicit Causality Prompt Continuations in Language Models. In: Keet , C.M., Lee, H.-Y., Zarrieß, S., and Association for Computational Linguistics (eds.) Proceedings of the 16th International Natural Language Generation Conference. p. 206–220. (2023).PUB | PDF | Download (ext.)
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2979653
Lumer, E., Lachenmaier, C., Zarrieß, S., Buschmeier, H.: Indirect politeness of disconfirming answers to humans and robots. Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). p. 1808-1815. (2023).PUB | PDF | DOI
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982902
Bunzeck, 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., and Dobnik, S. (eds.) Proceedings of the 2023 CLASP Conference on Learning with Small Data (LSD). p. 25-37. Association for Computational Linguistics, Stroudsburg, PA (2023).PUB | PDF
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2023 | Konferenzband | PUB-ID: 2984125Keet, C.M., Lee, H.-Y., Zarrieß, S. eds: Proceedings of the 16th International Natural Language Generation Conference. Association for Computational Linguistics, Prague, Czechia (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. and Breitholtz, E. (eds.) Proceedings of the 15th International Conference on Computational Semantics. p. 28-38. Association for Computational Linguistics, Nancy, France (2023).PUB
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2023 | Konferenzbeitrag | PUB-ID: 2984123Brinner, M.F., Zarrieß, S.: Model Interpretability and Rationale Extraction by Input Mask Optimization. In: Rogers, A., Boyd-Graber, J., and Okazaki, N. (eds.) Findings of the Association for Computational Linguistics: ACL 2023. p. 13722-13744. Association for Computational Linguistics, Toronto, Canada (2023).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. Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis. p. 278-289. Association for Computational Linguistics, Toronto, Canada (2023).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. Findings of the Association for Computational Linguistics: EACL 2023. p. 828-843. Association for Computational Linguistics, Dubrovnik, Croatia (2023).PUB
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2961795
Betz, S., Davids, R., Müller, C., Székély, E., Wagner, P., Weber, M.A., Youssef-Baronfeind, C., Zarrieß, S.: 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. 103, TuD, Dresden (2022).PUB | PDF | Download (ext.)
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969797Brinner, M.F., Heger, T., Zarrieß, S.: Linking a Hypothesis Network From the Domain of Invasion Biology to a Corpus of Scientific Abstracts: The INAS Dataset. Proceedings of the first Workshop on Information Extraction from Scientific Publications. p. 32-42. Association for Computational Linguistics, Stroudsburg, PA (2022).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. and Shutova, E. (eds.) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. p. 137-147. Association for Computational Linguistics, Stroudsburg, PA (2022).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., and Zesch, T. (eds.) Proceedings of the 18th Conference on Natural Language Processing/Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 2022). p. 88-97. KONVENS 2022 Organizers, Potsdam, Germany (2022).PUB | Download (ext.)
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2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2965495
Utescher, R., Patee, A., Maiwald, F., Bruschke, J., Hoppe, S., Münster, S., Niebling, F., Zarrieß, S.: 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 (2022).PUB | PDF | Download (ext.)
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2022 | Konferenzbeitrag | PUB-ID: 2965499Münster, S., Bruschke, J., Kröber, C., Hoppe, S., Maiwald, F., Niebling, F., Pattee, A., Utescher, R., Zarrieß, S.: Multimodale KI zur Unterstützung geschichtswissenschaftlicher Quellenkritik-ein Forschungsaufriss. DHd2022: Kulturen des digitalen Gedächtnisses. Konferenzabstracts. (2022).PUB | DOI
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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., and Chang, C.-H. (eds.) Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022. p. 197-210. Association for Computational Linguistics, Stroudsburg, PA (2022).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. Proceedings of the 29th International Conference on Computational Linguistics. Coling. 29(2022), p. 178-191. International Committee on Computational Linguistics (2022).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. Proceedings of the 15th International Conference on Natural Language Generation. p. 110-120. Association for Computational Linguistics, Stroudsburg, PA (2022).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., and Stent, A. (eds.) Proceedings of the 15th International Conference on Natural Language Generation. p. 203-211. Association for Computational Linguistics, Stroudsburg, PA (2022).PUB | Download (ext.)
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965490
Reiter, N., Sieker, J., Guhr, S., Gius, E., Zarrieß, S.: Exploring Text Recombination for Automatic Narrative Level Detection. Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). p. 3346-3353. European Language Resources Association (ELRA) (2022).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., and Zesch, T. (eds.) Proceedings of the 18th Conference on Natural Language Processing/Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 2022). p. 129-134. KONVENS 2022 Organizers, Potsdam, Germany (2022).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). p. 4136-4142. International Joint Conferences on Artificial Intelligence Organization, California (2022).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. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. p. 348-374. Association for Computational Linguistics, Stroudsburg, PA, USA (2022).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. Interspeech 2021. Proceedings. p. 3335-3339. ISCA (2021).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. Proceedings of the Third Workshop on Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN). p. 53-60. Association for Computational Linguistics, Kyiv, Ukraine (2021).PUB | Download (ext.)
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2021 | Konferenzbeitrag | PUB-ID: 2958059Schüz, S., Zarrieß, S.: Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation. Proceedings of the Reasoning and Interaction Conference (ReInAct 2021). p. 47-52. Association for Computational Linguistics, Gothenburg, Sweden (2021).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). Association for Computational Linguistics, Groningen, The Netherlands (online) (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. Proceedings of the 14th International Conference on Natural Language Generation. p. 371–376. (2021).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. Proceedings of the 22nd Annual SIGdial Meeting on Discourse and Dialogue. p. Forthcoming. Association for Computational Linguistics (2021).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. Schüren, Marburg (2021).PUB
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2021 | Konferenzbeitrag | PUB-ID: 2955818Giesen, J., Kahlmeyer, P., Laue, S., Mitterreiter, M., Nussbaum, F., Staudt, C., Zarrieß, S.: Method of Moments for Topic Models with Mixed Discrete and Continuous Features. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021. p. Forthcoming. (2021).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. Proceedings of the First Workshop on Bridging Human-Computer Interaction and Natural Language Processing. p. 66-73. Association for Computational Linguistics, Online (2021).PUB | Download (ext.)
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941473
Betz, 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., and Siegert, I. (eds.) Elektronische Sprachsignalverarbeitung 2020. Tagungsband der 31. Konferenz. Studientexte zur Sprachkommunikation. 95, p. 85-92. TUD Press, Dresden (2020).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. Proceedings of the 13th International Conference on Natural Language Generation. p. 316-326. Association for Computational Linguistics, Dublin, Ireland (2020).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. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. p. 6536-6542. Association for Computational Linguistics, Stroudsburg, PA, USA (2020).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. Proceedings of the 12th Language Resources and Evaluation Conference. p. 5792-5801. European Language Resources Association, Marseille, France (2020).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. Proceedings of the 28th International Conference on Computational Linguistics. p. 1893-1905. International Committee on Computational Linguistics, Stroudsburg, PA, USA (2020).PUB | DOI | Download (ext.)
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2019 | Konferenzbeitrag | PUB-ID: 2955814
Ilinykh, N., Zarrieß, S., Schlangen, D.: Meet Up! A Corpus of Joint Activity Dialogues in a Visual Environment. Proceedings of the 23rd Workshop on the Semantics and Pragmatics of Dialogue - Full Papers. SEMDIAL, London, United Kingdom (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. Proceedings of the 12th International Conference on Natural Language Generation. p. 136-140. Association for Computational Linguistics, Stroudsburg, PA, USA (2019).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. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. p. 654-659. Association for Computational Linguistics, Stroudsburg, PA, USA (2019).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. Proceedings of the 12th International Conference on Natural Language Generation. p. 152-157. Association for Computational Linguistics, Stroudsburg, PA, USA (2019).PUB | DOI | Download (ext.)
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2018 | Konferenzbeitrag | PUB-ID: 2930295
Han, T., Zarrieß, S., Komatani, K., Schlangen, D.: Learning to describe multimodally from parallel unimodal data? A pilot study on verbal and sketched object descriptions. 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: 2931335
Schlangen, D., Diekmann, T., Ilinykh, N., Zarrieß, S.: slurk – A Lightweight Interaction Server For Dialogue Experiments and Data Collection. Short Paper Proceedings of the 22nd Workshop on the Semantics and Pragmatics of Dialogue (AixDial / semdial 2018). (2018).PUB | PDF
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2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2918708
Lopez Gambino, M.S., Zarrieß, S., Schlangen, D.: Testing Strategies For Bridging Time-To-Content In Spoken Dialogue Systems. Proceedings of the Ninth International Workshop on Spoken Dialogue Systems Technology (IWSDS 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 (2017).PUB
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913008
Lopez Gambino, M.S., Zarrieß, S., Schlangen, D.: Beyond On-Hold Messages: Conversational Time-Buying in Task-Oriented Dialogue. In: Jokinen, K., Stede, M., DeVault, D., and Louis, A. (eds.) 18th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Proceedings of the conference. p. 241-246. (2017).PUB | PDF | DOI
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2017 | Konferenzbeitrag | Im Druck | PUB-ID: 2913049
Hough, J., Zarrieß, S., Schlangen, D.: Grounding Imperatives to Actions is Not Enough: A Challenge for Grounded NLU for Robots from Human-Human Data. Presented at the Grounding Language Understanding (GLU2017), Stockholm, Sweden (In Press).PUB | PDF
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2910540
Zarrieß, S., Schlangen, D.: Obtaining referential word meanings from visual and distributional information: Experiments on object naming. 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: 2908811
Zarrieß, S., Schlangen, D.: Is this a Child, a Girl, or a Car? Exploring the Contribution of Distributional Similarity to Learning Referential Word Meanings. 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: 2903759
Zarrieß, S., Schlangen, D.: Easy Things First: Installments Improve Referring Expression Generation for Objects in Photographs. 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: 2903756
Schlangen, D., Zarrieß, S., Kennington, C.: Resolving References to Objects in Photographs using the Words-As-Classifiers Model. 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., Manuvinakurike, R., DeVault, D., Fernández, R., Schlangen, D.: PentoRef: A Corpus of Spoken References in Task-oriented Dialogues. Bielefeld University (2016). doi:10.4119/unibi/2901444.PUB | Dateien verfügbar
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903076
Zarrieß, S., Hough, J., Kennington, C., Manuvinakurike, R., DeVault, D., Fernández, R., Schlangen, D.: PentoRef: A Corpus of Spoken References in Task-oriented Dialogues. 10th edition of the Language Resources and Evaluation Conference. (2016).PUB | PDF
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905650
Zarrieß, S., Schlangen, D.: Towards Generating Colour Terms for Referents in Photographs: Prefer the Expected or the Unexpected? Proceedings of the 9th International Natural Language Generation conference. p. 246--255. Association for Computational Linguistics, Edinburgh, UK (2016).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., and Purver, M. (eds.) Proceedings of the 15th European Workshop on Natural Language Generation. p. 38-47. The Association for Computational Linguistics, BRIGHTON, East Sussex, United Kingdom (2015).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. 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. Proceedings of the 14th {E}uropean Workshop on Natural Language Generation. p. 202-203. Association for Computational Linguistics, Sofia, Bulgaria (2013).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. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). p. 1547-1557. Association for Computational Linguistics, Sofia, Bulgaria (2013).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. Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task. p. 62-67. Association for Computational Linguistics, Sofia, Bulgaria (2013).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. Proceedings of the 13th Conference of the {E}uropean Chapter of the Association for Computational Linguistics. p. 767-776. Association for Computational Linguistics, Avignon, France (2012).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. Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12). p. 1637-1644. European Language Resources Association (ELRA), Istanbul, Turkey (2012).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. Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning. p. 928-939. Association for Computational Linguistics, Jeju Island, Korea (2012).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. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies. p. 1007-1017. Association for Computational Linguistics, Portland, Oregon, USA (2011).PUB | Download (ext.)
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2010 | Konferenzbeitrag | PUB-ID: 2955843Kuhn, J., Rohrer, C., Zarrieß, S., Butt, M., King, T.H.: Right Node Raising in Parsing and Generation. Proceedings of the LFG10 Conference. p. 332. (2010).PUB
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2010 | Konferenzbeitrag | PUB-ID: 2955842Zarrieß, S., Kuhn, J.: Reversing F-structure Rewriting for Generation from Meaning Representations. 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. Proceedings of the 2010 Workshop on {NLP} and Linguistics: Finding the Common Ground. p. 34-42. Association for Computational Linguistics, Uppsala, Sweden (2010).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. Coling 2010: Posters. p. 1426-1434. Coling 2010 Organizing Committee, Beijing, China (2010).PUB | Download (ext.)
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2010 | Konferenzbeitrag | PUB-ID: 2955833Dione, C.M.B., Kuhn, J., Zarrieß, S.: Design and Development of Part-of-Speech-Tagging Resources for Wolof (Niger-Congo, spoken in Senegal). Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}'10). European Language Resources Association (ELRA), Valletta, Malta (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. and 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. Proceedings of the Biennal GSCL Conference. p. 159-169. (2009).PUB
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2009 | Konferenzbeitrag | PUB-ID: 2955836Zarrieß, S.: Developing German Semantics on the basis of Parallel LFG Grammars. Proceedings of the 2009 Workshop on Grammar Engineering Across Frameworks ({GEAF} 2009). p. 10-18. Association for Computational Linguistics, Suntec, Singapore (2009).PUB | Download (ext.)
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2009 | Konferenzbeitrag | PUB-ID: 2955837Zarrieß, S., Kuhn, J.: Exploiting Translational Correspondences for Pattern-Independent MWE Identification. Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications ({MWE} 2009). p. 23-30. Association for Computational Linguistics, Singapore (2009).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. 213 (2008).PUB
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2006 | Konferenzbeitrag | PUB-ID: 2955838Kawtrakul, A., Suktarachan, M., Ranaivo-Malancon, B., Kuan, P., Raina, A., Sarkar, S., Mari, A., Zarrieß, S., Murguia, E., Saint-Dizier, P.: A Conceptual Analysis of the Notion of Instrumentality via a Multilingual Analysis. Proceedings of the Third {ACL}-{SIGSEM} Workshop on Prepositions. (2006).PUB | Download (ext.)