<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="acar-eryigit-2025-typology">
    <titleInfo>
        <title>Typology-aware Multilingual Morphosyntactic Parsing with Functional Node Filtering</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Kutay</namePart>
        <namePart type="family">Acar</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Gulsen</namePart>
        <namePart type="family">Eryigit</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2025-08</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of The UniDive 2025 Shared Task on Multilingual Morpho-Syntactic Parsing</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Omer</namePart>
            <namePart type="family">Goldman</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Leonie</namePart>
            <namePart type="family">Weissweiler</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Reut</namePart>
            <namePart type="family">Tsarfaty</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Ljubljana, Slovenia</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-8-89176-320-3</identifier>
    </relatedItem>
    <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.</abstract>
    <identifier type="citekey">acar-eryigit-2025-typology</identifier>
    <location>
        <url>https://aclanthology.org/2025.unidive-1.3/</url>
    </location>
    <part>
        <date>2025-08</date>
        <extent unit="page">
            <start>27</start>
            <end>33</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Typology-aware Multilingual Morphosyntactic Parsing with Functional Node Filtering
%A Acar, Kutay
%A Eryigit, Gulsen
%Y Goldman, Omer
%Y Weissweiler, Leonie
%Y Tsarfaty, Reut
%S Proceedings of The UniDive 2025 Shared Task on Multilingual Morpho-Syntactic Parsing
%D 2025
%8 August
%I Association for Computational Linguistics
%C Ljubljana, Slovenia
%@ 979-8-89176-320-3
%F acar-eryigit-2025-typology
%X 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.
%U https://aclanthology.org/2025.unidive-1.3/
%P 27-33

Markdown (Informal)

[Typology-aware Multilingual Morphosyntactic Parsing with Functional Node Filtering](https://aclanthology.org/2025.unidive-1.3/) (Acar & Eryigit, UNIDIVE-SyntaxFest 2025)

• Typology-aware Multilingual Morphosyntactic Parsing with Functional Node Filtering (Acar & Eryigit, UNIDIVE-SyntaxFest 2025)

ACL

• Kutay Acar and Gulsen Eryigit. 2025. Typology-aware Multilingual Morphosyntactic Parsing with Functional Node Filtering. In Proceedings of The UniDive 2025 Shared Task on Multilingual Morpho-Syntactic Parsing, pages 27–33, Ljubljana, Slovenia. Association for Computational Linguistics.