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• [7]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969752

  Schüz, S.; Gatt, A.; Zarrieß, S. (2023): Rethinking symbolic and visual context in Referring Expression Generation Frontiers in Artificial Intelligence,6: 18.

  PUB | PDF | DOI | WoS | PubMed | Europe PMC
   
• [6]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967316

  Alaçam, Ö.; Schüz, S.; Wegrzyn, M.; Kißler, J.; Zarrieß, S. (2022): Exploring Semantic Spaces for Detecting Clustering and Switching in Verbal Fluency. In: Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics. (Coling, 29(2022). S. 178-191.

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• [5]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2957091

  Zarrieß, S.; Voigt, H.; Schüz, S. (2021): Decoding Methods in Neural Language Generation: A Survey Information,12:(9):355

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• [4]
  

  2021 | Konferenzbeitrag | PUB-ID: 2958059

  Schüz, S.; Zarrieß, S. (2021): Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation. In: Proceedings of the Reasoning and Interaction Conference (ReInAct 2021). Gothenburg, Sweden: Association for Computational Linguistics. S. 47-52.

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• [3]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2956772

  Zarrieß, S.; Buschmeier, H.; Han, T.; Schüz, S. (2021): Decoding, fast and slow: A case study on balancing trade-offs in incremental, character-level pragmatic reasoning. In: Proceedings of the 14th International Conference on Natural Language Generation. S. 371–376.

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• [2]
  

  2021 | Konferenzbeitrag | PUB-ID: 2955817

  Schüz, S.; Han, T.; Zarrieß, S. (2021): Diversity as a By-Product: Goal-oriented Language Generation Leads to Linguistic Variation. In: Proceedings of the 22nd Annual SIGdial Meeting on Discourse and Dialogue. Association for Computational Linguistics. S. Forthcoming.

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• [1]
  

  2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955804

  Schüz, S.; Zarrieß, S. (2020): Knowledge Supports Visual Language Grounding: A Case Study on Colour Terms. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Stroudsburg, PA, USA: Association for Computational Linguistics. S. 6536-6542.

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