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. 6, 18 (2023).
    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. Proceedings of the 29th International Conference on Computational Linguistics. Coling. 29(2022), p. 178-191. International Committee on Computational Linguistics (2022).
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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. 12, : 355 (2021).
    PUB | PDF | DOI | WoS
     
  • [4]
    2021 | Konferenzbeitrag | PUB-ID: 2958059
    Schüz, S., Zarrieß, S.: Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation. Proceedings of the Reasoning and Interaction Conference (ReInAct 2021). p. 47-52. Association for Computational Linguistics, Gothenburg, Sweden (2021).
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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. Proceedings of the 14th International Conference on Natural Language Generation. p. 371–376. (2021).
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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. Proceedings of the 22nd Annual SIGdial Meeting on Discourse and Dialogue. p. Forthcoming. Association for Computational Linguistics (2021).
    PUB
     
  • [1]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955804
    Schüz, S., Zarrieß, S.: Knowledge Supports Visual Language Grounding: A Case Study on Colour Terms. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. p. 6536-6542. Association for Computational Linguistics, Stroudsburg, PA, USA (2020).
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