6 Publikationen

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  • [6]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987176
    Hoeken S, Alaçam Ö, Fokkens A, Sommerauer P (2023)
    Methodological Insights in Detecting Subtle Semantic Shifts with Contextualized and Static Language Models.
    In: Findings of the Association for Computational Linguistics: EMNLP 2023. Bouamor H, Pino J, Bali K (Eds); Stroudsburg, PA, USA: Association for Computational Linguistics: 3662-3675.
    PUB | DOI
     
  • [5]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2986803
    Hoeken S, Spliethoff S, Schwandt S, Zarrieß S, Alaçam Ö (2023)
    Towards Detecting Lexical Change of Hate Speech in Historical Data.
    In: Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change. Tahmasebi N (Ed); Stroudsburg, PA, USA: Association for Computational Linguistics: 100-111.
    PUB | DOI
     
  • [4]
    2023 | Konferenzbeitrag | PUB-ID: 2981214
    Hoeken S, Zarrieß S, Alaçam Ö (2023)
    Identifying Slurs and Lexical Hate Speech via Light-Weight Dimension Projection in Embedding Space.
    In: Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis. Toronto, Canada: Association for Computational Linguistics: 278-289.
    PUB
     
  • [3]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967315
    Alaçam Ö, Ruppert E, Malhotra G, Biemann C, Zarrieß S (2022)
    Modeling Referential Gaze in Task-oriented Settings of Varying Referential Complexity.
    In: Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022. He Y, Yi H, Li S, Liu Y, Chang C-H (Eds); Stroudsburg, PA: Association for Computational Linguistics: 197-210.
    PUB | Download (ext.)
     
  • [2]
    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.
    PUB | Download (ext.)
     
  • [1]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965224
    Voigt H, Alaçam Ö, Meuschke M, Lawonn K, Zarrieß S (2022)
    The Why and The How: A Survey on Natural Language Interaction in Visualization.
    In: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Stroudsburg, PA, USA: Association for Computational Linguistics: 348-374.
    PUB | DOI
     

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