GliLem: Leveraging GliNER for Contextualized Lemmatization in Estonian
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3A2L4AV2R2" target="_blank" >RIV/00216208:11320/26:2L4AV2R2 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2025.nodalida-1.10/" target="_blank" >https://aclanthology.org/2025.nodalida-1.10/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
GliLem: Leveraging GliNER for Contextualized Lemmatization in Estonian
Original language description
We present GliLem—a novel hybrid lemmatization system for Estonian that enhances the highly accurate rule-based morphological analyzer Vabamorf with an external disambiguation module based on GliNER—an open vocabulary NER model that is able to match text spans with text labels in natural language. We leverage the flexibility of a pre-trained GliNER model to improve the lemmatization accuracy of Vabamorf by 10% compared to its original disambiguation module and achieve an improvement over the token classification-based baseline. To measure the impact of improvements in lemmatization accuracy on the information retrieval downstream task, we first created an information retrieval dataset for Estonian by automatically translating the DBpedia-Entity dataset from English.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies
ISBN
978-9908-53-109-0
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
86-97
Publisher name
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Place of publication
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Event location
Tallinn, Estonia
Event date
Jan 1, 2026
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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