@inproceedings{acar-eryigit-2025-typology,
    title = "Typology-aware Multilingual Morphosyntactic Parsing with Functional Node Filtering",
    author = "Acar, Kutay  and
      Eryigit, Gulsen",
    editor = "Goldman, Omer  and
      Weissweiler, Leonie  and
      Tsarfaty, Reut",
    booktitle = "Proceedings of The UniDive 2025 Shared Task on Multilingual Morpho-Syntactic Parsing",
    month = aug,
    year = "2025",
    address = "Ljubljana, Slovenia",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/tal-24-ingestion/2025.unidive-1.3/",
    pages = "27--33",
    ISBN = "979-8-89176-320-3",
    abstract = "This paper presents a system for the UniDive Morphosyntactic Parsing (MSP) Shared Task, where it ranked second overall among participating teams. The task introduces a morphosyntactic representation that jointly models syntactic dependencies and morphological features by treating content-bearing elements as graph nodes and encoding functional elements as feature annotations, posing challenges for conventional parsers and necessitating more flexible, linguistically informed approaches. The proposed system combines a typology-aware, multitask parser with a multilingual content/function classifier to handle structural variance across languages. The architecture uses adapter modules and language embeddings to encode typological information. Evaluations across 9 typologically varied languages confirm that the system can accurately replicate both universal and language-specific morphosyntactic patterns."
}