93 Publikationen
-
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987034
C. Lachenmaier, et al., “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, 2024, pp.646–649.PUB | PDF | DOI -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985109
B. Bunzeck and S. Zarrieß, “GPT-wee: How Small Can a Small Language Model Really Get?”, Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, A. Warstadt, et al., eds., Stroudsburg, PA: Association for Computational Linguistics, 2023, pp.35-46.PUB | PDF | DOI | Download (ext.)
-
-
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2986803S. Hoeken, et al., “Towards Detecting Lexical Change of Hate Speech in Historical Data”, Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change, N. Tahmasebi, ed., Stroudsburg, PA, USA: Association for Computational Linguistics, 2023, pp.100-111.PUB | DOI
-
-
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985222
J. Sieker and S. Zarrieß, “When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! Principle”, Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, Y. Belinkov, et al., eds., 2023, pp.180–198.PUB | PDF | Download (ext.)
-
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983376
J. Sieker, et al., “Beyond the Bias: Unveiling the Quality of Implicit Causality Prompt Continuations in Language Models”, Proceedings of the 16th International Natural Language Generation Conference, C.M. Keet, et al., eds., 2023, pp.206–220.PUB | PDF | Download (ext.)
-
-
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982902
B. Bunzeck and S. Zarrieß, “Entrenchment Matters: Investigating Positional and Constructional Sensitivity in Small and Large Language Models”, Proceedings of the 2023 CLASP Conference on Learning with Small Data (LSD), E. Breitholtz, et al., eds., Stroudsburg, PA: Association for Computational Linguistics, 2023, pp.25-37.PUB | PDF
-
2023 | Konferenzband | PUB-ID: 2984125C.M. Keet, H.-Y. Lee, and S. Zarrieß, eds., Proceedings of the 16th International Natural Language Generation Conference, Prague, Czechia: Association for Computational Linguistics, 2023.PUB
-
2023 | Konferenzbeitrag | PUB-ID: 2984124J. Wagner and S. Zarrieß, “Probing BERT's ability to encode sentence modality and modal verb sense across varieties of English”, Proceedings of the 15th International Conference on Computational Semantics, M. Amblard and E. Breitholtz, eds., Nancy, France: Association for Computational Linguistics, 2023, pp.28-38.PUB
-
2023 | Konferenzbeitrag | PUB-ID: 2984123M.F. Brinner and S. Zarrieß, “Model Interpretability and Rationale Extraction by Input Mask Optimization”, Findings of the Association for Computational Linguistics: ACL 2023, A. Rogers, J. Boyd-Graber, and N. Okazaki, eds., Toronto, Canada: Association for Computational Linguistics, 2023, pp.13722-13744.PUB | DOI | Download (ext.)
-
2023 | Konferenzbeitrag | PUB-ID: 2981214S. Hoeken, S. Zarrieß, and Ö. Alaçam, “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, Toronto, Canada: Association for Computational Linguistics, 2023, pp.278-289.PUB
-
2023 | Konferenzbeitrag | PUB-ID: 2979407H. Voigt, et al., “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, Dubrovnik, Croatia: Association for Computational Linguistics, 2023, pp.828-843.PUB
-
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2961795
S. Betz, et al., “Is there a hesitation bias for ambiguous color terms?”, Elektronische Sprachsignalverarbeitung 2022: Tagungsband der 33. Konferenz Sonderborg, 2.-4. März 2022 , R. Hoffmann, ed., Studientexte zur Sprachkommunikation, vol. 103, Dresden: TuD, 2022.PUB | PDF | Download (ext.)
-
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969797M.F. Brinner, T. Heger, and S. Zarrieß, “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, Stroudsburg, PA: Association for Computational Linguistics, 2022, pp.32-42.PUB | Download (ext.)
-
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969796H. Voigt, et al., “KeywordScape: Visual Document Exploration using Contextualized Keyword Embeddings”, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, W. Che and E. Shutova, eds., Stroudsburg, PA: Association for Computational Linguistics, 2022, pp.137-147.PUB | Download (ext.)
-
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965729J. Wagner and S. Zarrieß, “Do gender neutral affixes naturally reduce gender bias in static word embeddings?”, Proceedings of the 18th Conference on Natural Language Processing/Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 2022), R. Schaefer, et al., eds., Potsdam, Germany: KONVENS 2022 Organizers, 2022, pp.88-97.PUB | Download (ext.)
-
2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2965495
R. Utescher, 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, Lausanne: 2022.PUB | PDF | Download (ext.)
-
-
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967315Ö. Alaçam, et al., “Modeling Referential Gaze in Task-oriented Settings of Varying Referential Complexity”, Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, Y. He, et al., eds., Stroudsburg, PA: Association for Computational Linguistics, 2022, pp.197-210.PUB | Download (ext.)
-
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967316Ö. Alaçam, et al., “Exploring Semantic Spaces for Detecting Clustering and Switching in Verbal Fluency”, Proceedings of the 29th International Conference on Computational Linguistics, Coling, vol. 29(2022), International Committee on Computational Linguistics, 2022, pp.178-191.PUB | Download (ext.)
-
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967312N. Attari, et al., “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, Stroudsburg, PA: Association for Computational Linguistics, 2022, pp.110-120.PUB | Download (ext.)
-
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967313S. Zarrieß, et al., “Generating Landmark-based Manipulation Instructions from Image Pairs”, Proceedings of the 15th International Conference on Natural Language Generation, S. Shaikh, T. Ferreira, and A. Stent, eds., Stroudsburg, PA: Association for Computational Linguistics, 2022, pp.203-211.PUB | Download (ext.)
-
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965490
N. Reiter, et al., “Exploring Text Recombination for Automatic Narrative Level Detection”, Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), European Language Resources Association (ELRA), 2022, pp.3346-3353.PUB | PDF | Download (ext.)
-
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965730S. Zarrieß, et al., “This isn't the bias you're looking for: Implicit causality, names and gender in German language models”, Proceedings of the 18th Conference on Natural Language Processing/Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 2022), R. Schaefer, et al., eds., Potsdam, Germany: KONVENS 2022 Organizers, 2022, pp.129-134.PUB | Download (ext.)
-
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965223J. Giesen, et al., “Leveraging the Wikipedia Graph for Evaluating Word Embeddings”, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22), L. De Raedt, ed., California: International Joint Conferences on Artificial Intelligence Organization, 2022, pp.4136-4142.PUB | DOI
-
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965224H. Voigt, et al., “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, Stroudsburg, PA, USA: Association for Computational Linguistics, 2022, pp.348-374.PUB | DOI
-
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2956208P. Wagner, S. Zarrieß, and J. Cholin, “Effects of time pressure and spontaneity on phonotactic innovations in German Dialogues”, Interspeech 2021. Proceedings, ISCA, 2021, pp.3335-3339.PUB | DOI | Download (ext.)
-
-
2021 | Konferenzbeitrag | PUB-ID: 2955815R. Utescher and S. Zarrieß, “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), Kyiv, Ukraine: Association for Computational Linguistics, 2021, pp.53-60.PUB | Download (ext.)
-
2021 | Konferenzbeitrag | PUB-ID: 2958059S. Schüz and S. Zarrieß, “Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation”, Proceedings of the Reasoning and Interaction Conference (ReInAct 2021), Gothenburg, Sweden: Association for Computational Linguistics, 2021, pp.47-52.PUB | Download (ext.)
-
2021 | Konferenzband | PUB-ID: 2957719S. Zarrieß, et al., eds., Proceedings of the 14th International Conference on Computational Semantics (IWCS), Groningen, The Netherlands (online): Association for Computational Linguistics, 2021.PUB
-
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2956772S. Zarrieß, et al., “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, 2021, pp.371–376.PUB | Download (ext.)
-
2021 | Konferenzbeitrag | PUB-ID: 2955817S. Schüz, T. Han, and S. Zarrieß, “Diversity as a By-Product: Goal-oriented Language Generation Leads to Linguistic Variation”, Proceedings of the 22nd Annual SIGdial Meeting on Discourse and Dialogue, Association for Computational Linguistics, 2021, pp.Forthcoming.PUB
-
2021 | Sammelwerksbeitrag | PUB-ID: 2955819P. Woijcik, S. Picard, and S. Zarrieß, “Oktoberfest. Zur Twitterisierung einer kulturellen Ikone.”, O’zapft is!“ – Das Münchner Oktoberfest aus literatur- und kultursemiotischer Perspektive, S. Großmann, ed., Schriften zur Kultur- und Mediensemiotik, Marburg: Schüren, 2021.PUB
-
2021 | Konferenzbeitrag | PUB-ID: 2955818J. Giesen, et al., “Method of Moments for Topic Models with Mixed Discrete and Continuous Features”, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, 2021, pp.Forthcoming.PUB
-
2021 | Konferenzbeitrag | PUB-ID: 2955816H. Voigt, et al., “Challenges in Designing Natural Language Interfaces for Complex Visual Models”, Proceedings of the First Workshop on Bridging Human-Computer Interaction and Natural Language Processing, Online: Association for Computational Linguistics, 2021, pp.66-73.PUB | Download (ext.)
-
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941473
S. Betz, et al., “Hesitation Processing Analysis Using Continuous Mouse-Tracking and Gamification”, Elektronische Sprachsignalverarbeitung 2020. Tagungsband der 31. Konferenz., A. Wendemuth, R. Böck, and I. Siegert, eds., Studientexte zur Sprachkommunikation, vol. 95, Dresden: TUD Press, 2020, pp.85-92.PUB | PDF
-
2020 | Konferenzbeitrag | PUB-ID: 2955806R. Rojowiec, et al., “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, Dublin, Ireland: Association for Computational Linguistics, 2020, pp.316-326.PUB | Download (ext.)
-
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955804S. Schüz and S. Zarrieß, “Knowledge Supports Visual Language Grounding: A Case Study on Colour Terms”, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, Stroudsburg, PA, USA: Association for Computational Linguistics, 2020, pp.6536-6542.PUB | DOI | Download (ext.)
-
2020 | Konferenzbeitrag | PUB-ID: 2955807C. Silberer, S. Zarrieß, and G. Boleda, “Object Naming in Language and Vision: A Survey and a New Dataset”, Proceedings of the 12th Language Resources and Evaluation Conference, Marseille, France: European Language Resources Association, 2020, pp.5792-5801.PUB | Download (ext.)
-
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955805C. Silberer, et al., “Humans Meet Models on Object Naming: A New Dataset and Analysis”, Proceedings of the 28th International Conference on Computational Linguistics, Stroudsburg, PA, USA: International Committee on Computational Linguistics, 2020, pp.1893-1905.PUB | DOI | Download (ext.)
-
-
-
2019 | Konferenzbeitrag | PUB-ID: 2955814
N. Ilinykh, S. Zarrieß, and D. Schlangen, “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, London, United Kingdom: SEMDIAL, 2019.PUB | PDF | Download (ext.)
-
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955809T. Han and S. Zarrieß, “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, Stroudsburg, PA, USA: Association for Computational Linguistics, 2019, pp.136-140.PUB | DOI | Download (ext.)
-
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955811S. Zarrieß and D. Schlangen, “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, Stroudsburg, PA, USA: Association for Computational Linguistics, 2019, pp.654-659.PUB | DOI | Download (ext.)
-
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955810N. Ilinykh, S. Zarrieß, and D. Schlangen, “Tell Me More: A Dataset of Visual Scene Description Sequences”, Proceedings of the 12th International Conference on Natural Language Generation, Stroudsburg, PA, USA: Association for Computational Linguistics, 2019, pp.152-157.PUB | DOI | Download (ext.)
-
-
-
-
-
-
-
-
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2918708
M.S. Lopez Gambino, S. Zarrieß, and D. Schlangen, “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
-
-
-
2017 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2909299S. Loth and S. Zarrieß, “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
-
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913008
M.S. Lopez Gambino, S. Zarrieß, and D. Schlangen, “Beyond On-Hold Messages: Conversational Time-Buying in Task-Oriented Dialogue”, 18th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Proceedings of the conference, K. Jokinen, et al., eds., 2017, pp.241-246.PUB | PDF | DOI
-
-
2017 | Konferenzbeitrag | Im Druck | PUB-ID: 2913049
J. Hough, S. Zarrieß, and D. Schlangen, “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
-
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2910540
S. Zarrieß and D. Schlangen, “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
-
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2908811
S. Zarrieß and D. Schlangen, “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
-
-
-
2016 | Dissertation | PUB-ID: 2955821S. Zarrieß, Syntactic and referential choice in corpus-based generation: modeling source, context and interactions, Universität Stuttgart, 2016.PUB
-
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903759
S. Zarrieß and D. Schlangen, “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
-
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903756
D. Schlangen, S. Zarrieß, and C. Kennington, “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
-
2016 | Datenpublikation | PUB-ID: 2901444S. Zarrieß, et al., PentoRef: A Corpus of Spoken References in Task-oriented Dialogues. Bielefeld University, 2016. doi:10.4119/unibi/2901444.PUB | Dateien verfügbar
-
-
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905650
S. Zarrieß and D. Schlangen, “Towards Generating Colour Terms for Referents in Photographs: Prefer the Expected or the Unexpected?”, Proceedings of the 9th International Natural Language Generation conference, Edinburgh, UK: Association for Computational Linguistics, 2016, pp.246--255.PUB | Dateien verfügbar
-
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2769458S. Zarrieß, S. Loth, and D. Schlangen, “Reading Times Predict the Quality of Generated Text Above and Beyond Human Ratings”, Proceedings of the 15th European Workshop on Natural Language Generation, A. Belz, et al., eds., BRIGHTON, East Sussex, United Kingdom: The Association for Computational Linguistics, 2015, pp.38-47.PUB | Download (ext.)
-
2013 | Konferenzbeitrag | PUB-ID: 2955845Ö. Cetinoglu, S. Zarrieß, and J. Kuhn, “Dependency-based sentence simplification for increasing deep LFG parsing coverage”, Proceedings of the LFG13 Conference, Debrecen, Hungary: 2013.PUB
-
2013 | Konferenzbeitrag | PUB-ID: 2955828S. Zarrieß and K. Richardson, “An Automatic Method for Building a Data-to-Text Generator”, Proceedings of the 14th {E}uropean Workshop on Natural Language Generation, Sofia, Bulgaria: Association for Computational Linguistics, 2013, pp.202-203.PUB | Download (ext.)
-
2013 | Konferenzbeitrag | PUB-ID: 2955827S. Zarrieß and J. Kuhn, “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), Sofia, Bulgaria: Association for Computational Linguistics, 2013, pp.1547-1557.PUB | Download (ext.)
-
2013 | Konferenzbeitrag | PUB-ID: 2955826G. Berend, et al., “LFG-based Features for Noun Number and Article Grammatical Errors”, Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task, Sofia, Bulgaria: Association for Computational Linguistics, 2013, pp.62-67.PUB | Download (ext.)
-
2012 | Konferenzbeitrag | PUB-ID: 2955829S. Zarrieß, A. Cahill, and J. Kuhn, “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, Avignon, France: Association for Computational Linguistics, 2012, pp.767-776.PUB | Download (ext.)
-
2012 | Konferenzbeitrag | PUB-ID: 2955830P. Ziering, S. Zarrieß, and J. Kuhn, “A Corpus-based Study of the German Recipient Passive”, Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12), Istanbul, Turkey: European Language Resources Association (ELRA), 2012, pp.1637-1644.PUB | Download (ext.)
-
2012 | Konferenzbeitrag | PUB-ID: 2955831B. Bohnet, et al., “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, Jeju Island, Korea: Association for Computational Linguistics, 2012, pp.928-939.PUB | Download (ext.)
-
2011 | Konferenzbeitrag | PUB-ID: 2955832S. Zarrieß, A. Cahill, and J. Kuhn, “Underspecifying and Predicting Voice for Surface Realisation Ranking”, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Portland, Oregon, USA: Association for Computational Linguistics, 2011, pp.1007-1017.PUB | Download (ext.)
-
2010 | Konferenzbeitrag | PUB-ID: 2955843J. Kuhn, et al., “Right Node Raising in Parsing and Generation”, Proceedings of the LFG10 Conference, 2010, pp.332.PUB
-
2010 | Konferenzbeitrag | PUB-ID: 2955842S. Zarrieß and J. Kuhn, “Reversing F-structure Rewriting for Generation from Meaning Representations”, Proceedings of the LFG10 Conference, Ottawa, Canada: 2010.PUB
-
2010 | Konferenzbeitrag | PUB-ID: 2955835S. Zarrieß, et al., “A Cross-Lingual Induction Technique for German Adverbial Participles”, Proceedings of the 2010 Workshop on {NLP} and Linguistics: Finding the Common Ground, Uppsala, Sweden: Association for Computational Linguistics, 2010, pp.34-42.PUB | Download (ext.)
-
2010 | Konferenzbeitrag | PUB-ID: 2955834S. Zarrieß, et al., “Cross-Lingual Induction for Deep Broad-Coverage Syntax: A Case Study on German Participles”, Coling 2010: Posters, Beijing, China: Coling 2010 Organizing Committee, 2010, pp.1426-1434.PUB | Download (ext.)
-
2010 | Konferenzbeitrag | PUB-ID: 2955833C.M.B. Dione, J. Kuhn, and S. Zarrieß, “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), Valletta, Malta: European Language Resources Association (ELRA), 2010.PUB | Download (ext.)
-
2009 | Konferenzbeitrag | PUB-ID: 2955841S. Zarrieß and J. Kuhn, “Paraphrases in LFG-based Broad-Coverage Semantics”, Proceedings of the LFG09 Conference, M. Butt and T. Holloway King, eds., Cambridge: 2009.PUB
-
2009 | Konferenzbeitrag | PUB-ID: 2955840S. Zarrieß, “From parallel syntax towards parallel semantics: Porting an English LFG-based semantics to German”, Proceedings of the Biennal GSCL Conference, 2009, pp.159-169.PUB
-
2009 | Konferenzbeitrag | PUB-ID: 2955836S. Zarrieß, “Developing German Semantics on the basis of Parallel LFG Grammars”, Proceedings of the 2009 Workshop on Grammar Engineering Across Frameworks ({GEAF} 2009), Suntec, Singapore: Association for Computational Linguistics, 2009, pp.10-18.PUB | Download (ext.)
-
2009 | Konferenzbeitrag | PUB-ID: 2955837S. Zarrieß and J. Kuhn, “Exploiting Translational Correspondences for Pattern-Independent MWE Identification”, Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications ({MWE} 2009), Singapore: Association for Computational Linguistics, 2009, pp.23-30.PUB | Download (ext.)
-
2008 | Zeitschriftenaufsatz | PUB-ID: 2955839S. Zarrieß and W. Seeker, “Finite-state rule deduction for parsing non-constituent coordination”, Finite State Methods and Natural Language Processing, 2008, pp. 213.PUB
-
2006 | Konferenzbeitrag | PUB-ID: 2955838A. Kawtrakul, et al., “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.)