PUB - Publikationen an der Universität Bielefeld

Alle markieren

• [4]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985109

  B. Bunzeck and S. Zarrieß, “GPT-wee: How Small Can a Small Language Model Really Get?”, Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, A. Warstadt, et al., eds., Stroudsburg, PA: Association for Computational Linguistics, 2023, pp.35-46.

  PUB | PDF | DOI | Download (ext.)
   
• [3]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980943

  S. Druskat, et al., “Hexatomic: An extensible, OS-independent platform fordeep multi-layer linguistic annotation of corpora”, Journal of Open Source Software, vol. 8, 2023, : 4825.

  PUB | PDF | DOI
   
• [2]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980942

  P. Wojcik, B. Bunzeck, and S. Zarrieß, “The Wikipedia Republic of Literary Characters”, Journal of Cultural Analytics, vol. 8, 2023.

  PUB | PDF | DOI
   
• [1]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982902

  B. Bunzeck and S. Zarrieß, “Entrenchment Matters: Investigating Positional and Constructional Sensitivity in Small and Large Language Models”, Proceedings of the 2023 CLASP Conference on Learning with Small Data (LSD), E. Breitholtz, et al., eds., Stroudsburg, PA: Association for Computational Linguistics, 2023, pp.25-37.

  PUB | PDF