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, p 18.

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• [6]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967316

  Alaçam, Ö., et al., 2022. Exploring Semantic Spaces for Detecting Clustering and Switching in Verbal Fluency. In Proceedings of the 29th International Conference on Computational Linguistics. Coling. no.29(2022) International Committee on Computational Linguistics, pp. 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, pp. 47-52.

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• [3]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2956772

  Zarrieß, S., et al., 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. pp. 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, pp. 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, pp. 6536-6542.

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