7 Publikationen

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  • [7]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969752 OA
    Schüz S, Gatt A, Zarrieß S. Rethinking symbolic and visual context in Referring Expression Generation. Frontiers in Artificial Intelligence. 2023;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. Exploring Semantic Spaces for Detecting Clustering and Switching in Verbal Fluency. In: Proceedings of the 29th International Conference on Computational Linguistics. Coling. Vol 29(2022). International Committee on Computational Linguistics; 2022: 178-191.
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  • [5]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2957091 OA
    Zarrieß S, Voigt H, Schüz S. Decoding Methods in Neural Language Generation: A Survey. Information. 2021;12(9): 355.
    PUB | PDF | DOI | WoS
     
  • [4]
    2021 | Konferenzbeitrag | PUB-ID: 2958059
    Schüz S, Zarrieß S. Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation. In: Proceedings of the Reasoning and Interaction Conference (ReInAct 2021). Gothenburg, Sweden: Association for Computational Linguistics; 2021: 47-52.
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  • [3]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2956772
    Zarrieß S, Buschmeier H, Han T, Schüz S. 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. 2021: 371–376.
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  • [2]
    2021 | Konferenzbeitrag | PUB-ID: 2955817
    Schüz S, Han T, Zarrieß S. 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; 2021: Forthcoming.
    PUB
     
  • [1]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955804
    Schüz S, Zarrieß S. 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; 2020: 6536-6542.
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