#CCLS2026: 10th Talk is “Stylometry or Embeddings? Authorship Attribution for Russian and Italian Poetry” by Maria Levchenko, examining interpretable stylometric features and embedding-based lexical representations for poetry authorship attribution.
Preprint: https://doi.org/10.26083/tuda-7985
Maria Levchenko asks one of the big questions in the room: “What can #LLM #embeddings do for literary studies?” Claiming that "Embeddings are not stochastic parrots."
Her paper also reuses the “PoeTree” corpus referred to in the previous talk provided by Plecháč et al. https://versologie.cz/poetree/
#Reusability #Community #JCLS #ComputationalLiteraryStudies #CCLS2026
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