2019

  • 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 (pp. 654–659). Florence, Italy: Association for Computational Linguistics. Retrieved from https://www.aclweb.org/anthology/P19-1063
  • 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.
  • Betz, S., Zarrieß, S., Székely, É., & Wagner, P. (2019). The greennn tree - lengthening position influences uncertainty perception. In Proceedings of Interspeech.
  • Ilinykh, N., Zarrieß, S., & Schlangen, D. (2019). MeetUp! A Corpus of Joint Activity Dialogues in a Visual Environment. In Proceedings of the 23rd Workshop on the Semantics and Pragmatics of Dialogue (SemDial 2019 / LondonLogue).
  • 2018

  • 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).
  • 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).
  • 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.
  • Ilinykh, N., Zarrieß, S., & Schlangen, D. (2018). The Task Matters: Comparing Image Captioning and Task-Based Dialogical Image Description. In Proceedings of the 11th International Conference on Natural Language Generation (pp. 397–402). Tilburg University, The Netherlands: Association for Computational Linguistics. Retrieved from https://www.aclweb.org/anthology/W18-6547
  • Schlangen, D., Ilinykh, N., & Zarrieß, S. (2018). Visual Dialogue Needs Symmetry, Goals, and Dynamics: The Example of the MeetUp Task. In Proceedings of the 1st Workshop on Shortcomings in Vision and Language (SiVL) at ECCV 2018.
  • Zarrieß, S., & Schlangen, D. (2018). Decoding Strategies for Neural Referring Expression Generation. In Proceedings of the 11th International Conference on Natural Language Generation (pp. 503–512). Tilburg University, The Netherlands: Association for Computational Linguistics. Retrieved from https://www.aclweb.org/anthology/W18-6563 Best paper award
  • 2017

  • Hough, J., Zarrieß, S., & Schlangen, D. (2017). Grounding Imperatives to Actions is Not Enough: A Challenge for Grounded NLU for Robots from Human-Human Data. In Grounding Language Understanding Workshop (GLU2017) .
  • 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.
  • López Gambino, S., Zarrieß, S., & Schlangen, D. (2017). Beyond On-hold Messages: Conversational Time-buying in Task-oriented Dialogue. In Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue (pp. 241–246). Saarbrücken, Germany: Association for Computational Linguistics. Retrieved from http://aclweb.org/anthology/W17-5529 Best paper award
  • Zarrieß, S., López Gambino, M. S., & Schlangen, D. (2017). Refer-iTTS: A System for Referring in Spoken Installments to Objects in Real-World Images. In Proceedings of the 10th International Conference on Natural Language Generation (pp. 72–73). Santiago de Compostela, Spain: Association for Computational Linguistics. Retrieved from http://www.aclweb.org/anthology/W17-3509
  • Richardson, K., Zarrieß, S., & Kuhn, J. (2017). The Code2Text Challenge: Text Generation in Source Libraries. In Proceedings of the 10th International Conference on Natural Language Generation (pp. 115–119). Santiago de Compostela, Spain: Association for Computational Linguistics. Retrieved from http://www.aclweb.org/anthology/W17-3516
  • Betz, S., Voße, J., Zarrieß, S., & Wagner, P. (2017). Increasing Recall of Lengthening Detection via Semi-Automatic Classification. In Proceedings of Interspeech (pp. 1084–1088). Retrieved from https://www.isca-speech.org/archive/Interspeech_2017/pdfs/1528.PDF
  • 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 Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers (pp. 86–91). Valencia, Spain: Association for Computational Linguistics. Retrieved from http://www.aclweb.org/anthology/E17-2014
  • Zarrieß, S., & Schlangen, D. (2017). Obtaining referential word meanings from visual and distributional information: Experiments on object naming. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 243–254). Vancouver, Canada: Association for Computational Linguistics. Retrieved from http://aclweb.org/anthology/P17-1023
  • Zarrieß, S., & Schlangen, D. (2017). Deriving continous grounded meaning representations from referentially structured multimodal contexts. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (pp. 959–965). Copenhagen, Denmark: Association for Computational Linguistics. Retrieved from https://www.aclweb.org/anthology/D17-1100
  • 2016

  • Zarrieß, S. (2016). Syntactic and referential choice in corpus-based generation: modeling source, context and interactions (PhD thesis). Universität Stuttgart.
  • 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.
  • 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 (pp. 246–255). Edinburgh, UK: Association for Computational Linguistics. Retrieved from http://anthology.aclweb.org/W16-6642 Best paper award
  • 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 (Volume 1: Long Papers) (pp. 610–620). Berlin, Germany: Association for Computational Linguistics. Retrieved from http://www.aclweb.org/anthology/P16-1058
  • 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 (Volume 1: Long Papers) (pp. 1213–1223). Berlin, Germany: Association for Computational Linguistics. Retrieved from http://www.aclweb.org/anthology/P16-1115
  • 2015

  • Zarrieß, S., Loth, S., & Schlangen, D. (2015). Reading Times Predict the Quality of Generated Text Above and Beyond Human Ratings. In Proceedings of the 15th European Workshop on Natural Language Generation (ENLG) (pp. 38–47). Brighton, UK: Association for Computational Linguistics. Retrieved from http://www.aclweb.org/anthology/W15-4705
  • 2013

  • Çetinoğlu, Ö., Zarrieß, S., & Kuhn, J. (2013). Dependency-based sentence simplification for increasing deep LFG parsing coverage. In Proceedings of the LFG13 Conference. Debrecen, Hungary.
  • Zarrieß, S., & Richardson, K. (2013). An Automatic Method for Building a Data-to-Text Generator. In Proceedings of 14th European Workshop on Natural Language Generation. Bulgaria, Sofia: Association for Computational Linguistics.
  • 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 (pp. 62–67). Sofia, Bulgaria: Association for Computational Linguistics. Retrieved from http://www.aclweb.org/anthology/W13-3608
  • 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) (pp. 1547–1557). Sofia, Bulgaria: Association for Computational Linguistics. Retrieved from http://www.aclweb.org/anthology/P13-1152
  • 2012

  • Zarrieß, S., & Ziering, P. (2012). A Corpus-based Study of the German Recipient Passive. In Proceedings of LREC 2012.
  • 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 European Chapter of the Association for Computational Linguistics (pp. 767–776). Avignon, France: Association for Computational Linguistics. Retrieved from http://www.aclweb.org/anthology/E12-1078
  • 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 (pp. 928–939). Jeju Island, Korea: Association for Computational Linguistics. Retrieved from http://www.aclweb.org/anthology/D12-1085
  • 2011

  • 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 (pp. 1007–1017). Portland, Oregon, USA: Association for Computational Linguistics. Retrieved from http://www.aclweb.org/anthology/P11-1101
  • 2010

  • Zarrieß, S., & Kuhn, J. (2010). Reversing F-structure Rewriting for Generation from Meaning Representations. In Proceedings of the LFG10 Conference. Ottawa, Canada.
  • Kuhn, J., Rohrer, C., Zarrieß, S., Butt, M., & King, T. H. (2010). Right Node Raising in Parsing and Generation. Proceedings of LFG10, 332.
  • 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 (pp. 34–42). Uppsala, Sweden: Association for Computational Linguistics. Retrieved from http://www.aclweb.org/anthology/W10-2106
  • Dione, C. M. B., Zarrieß, S., & Kuhn, J. (2010). Design and Development of Part-of-Speech-Tagging Resources for Wolof (Niger-Congo, spoken in Senegal). In Proceedings of LREC 2010.
  • Rohrer, C., & Zarrieß, S. (2010). Right-node Raising and Leftward Deletion in a Large-Coverage LFG Grammar. In DGfS-CL Poster Session, Annual Meeting of the DGfS.
  • 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 (pp. 1426–1434). Beijing, China: Coling 2010 Organizing Committee. Retrieved from http://www.aclweb.org/anthology/C10-2163
  • 2009

  • Zarrieß, S. (2009). From parallel syntax towards parallel semantics: Porting an English LFG-based semantics to German. In Proceedings of the Biennal GSCL Conference (pp. 159–169).
  • Zarrieß, S., & Kuhn, J. (2009). Paraphrases in LFG-based Broad-Coverage Semantics. In M. Butt & T. H. King (Eds.), Proceedings of the LFG09 Conference. Cambridge.
  • 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 (pp. 23–30). Singapore: Association for Computational Linguistics. Retrieved from http://www.aclweb.org/anthology/W/W09/W09-2904
  • 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) (pp. 10–18). Suntec, Singapore: Association for Computational Linguistics. Retrieved from http://www.aclweb.org/anthology/W/W09/W09-2602
  • 2008

  • Zarrieß, S., & Seeker, W. (2008). Finite-state rule deduction for parsing non-constituent coordination. Finite State Methods and Natural Language Processing, 213.