@inproceedings{petrov-2025-ruaccent,
    title = "{RUA}ccent: Advanced System for Stress Placement in {R}ussian with Homograph Resolution",
    author = "Petrov, Denis Andreevich",
    editor = "Rambow, Owen  and
      Wanner, Leo  and
      Apidianaki, Marianna  and
      Al-Khalifa, Hend  and
      Eugenio, Barbara Di  and
      Schockaert, Steven",
    booktitle = "Proceedings of the 31st International Conference on Computational Linguistics",
    month = jan,
    year = "2025",
    address = "Abu Dhabi, UAE",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2025.coling-main.444/",
    pages = "6642--6648",
    abstract = "This paper presents a novel approach to the problem of stress placement in Russian text, with a particular focus on resolving homographs. We introduce a comprehensive system that combines morphological analysis, context-aware neural models, and a specialized {\textquotedblleft}{\CYRYO}-fikator{\textquotedblright} to accurately place stress in Russian words, including those with ambiguous pronunciations. Our system outperforms existing solutions, achieving a 0.96 accuracy on homographs and 0.97 accuracy on non-homograph words."
}