PUB - Publikationen an der Universität Bielefeld

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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. Coling, 29(2022). International Committee on Computational Linguistics: 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.

  PUB | PDF | DOI | WoS
   
• [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: 47-52.

  PUB | Download (ext.)
   
• [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. 371–376.

  PUB | Download (ext.)
   
• [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: Forthcoming.

  PUB
   
• [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: 6536-6542.

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