@inproceedings{markantonatou-etal-2025-vmwe,
title = "{VMWE} identification with models trained on {GUD} (a {UD}v.2 treebank of Standard {M}odern {G}reek)",
author = "Markantonatou, Stella and
Stamou, Vivian and
Bompolas, Stavros and
Anastasopoulou, Katerina and
Vasileiadi, Irianna Linardaki and
Diamantopoulos, Konstantinos and
Kazos, Yannis and
Anastasopoulos, Antonios",
editor = {Ojha, Atul Kr. and
Giouli, Voula and
Mititelu, Verginica Barbu and
Constant, Mathieu and
Korvel, Gra{\v{z}}ina and
Do{\u{g}}ru{\"o}z, A. Seza and
Rademaker, Alexandre},
booktitle = "Proceedings of the 21st Workshop on Multiword Expressions (MWE 2025)",
month = may,
year = "2025",
address = "Albuquerque, New Mexico, U.S.A.",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.mwe-1.3/",
doi = "10.18653/v1/2025.mwe-1.3",
pages = "14--20",
ISBN = "979-8-89176-243-5",
abstract = "UD{\_}Greek-GUD (GUD) is the most recent Universal Dependencies (UD) treebank for Standard Modern Greek (SMG) and the first SMG UD treebank to annotate Verbal Multiword Expressions (VMWEs). GUD contains material from fiction texts and various sites that use colloquial SMG. We describe the special annotation decisions we implemented with GUD, the pipeline we developed to facilitate the active annotation of new material, and we report on the method we designed to evaluate the performance of models trained on GUD as regards VMWE identification tasks."
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<abstract>UD_Greek-GUD (GUD) is the most recent Universal Dependencies (UD) treebank for Standard Modern Greek (SMG) and the first SMG UD treebank to annotate Verbal Multiword Expressions (VMWEs). GUD contains material from fiction texts and various sites that use colloquial SMG. We describe the special annotation decisions we implemented with GUD, the pipeline we developed to facilitate the active annotation of new material, and we report on the method we designed to evaluate the performance of models trained on GUD as regards VMWE identification tasks.</abstract>
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%0 Conference Proceedings
%T VMWE identification with models trained on GUD (a UDv.2 treebank of Standard Modern Greek)
%A Markantonatou, Stella
%A Stamou, Vivian
%A Bompolas, Stavros
%A Anastasopoulou, Katerina
%A Vasileiadi, Irianna Linardaki
%A Diamantopoulos, Konstantinos
%A Kazos, Yannis
%A Anastasopoulos, Antonios
%Y Ojha, Atul Kr.
%Y Giouli, Voula
%Y Mititelu, Verginica Barbu
%Y Constant, Mathieu
%Y Korvel, Gražina
%Y Doğruöz, A. Seza
%Y Rademaker, Alexandre
%S Proceedings of the 21st Workshop on Multiword Expressions (MWE 2025)
%D 2025
%8 May
%I Association for Computational Linguistics
%C Albuquerque, New Mexico, U.S.A.
%@ 979-8-89176-243-5
%F markantonatou-etal-2025-vmwe
%X UD_Greek-GUD (GUD) is the most recent Universal Dependencies (UD) treebank for Standard Modern Greek (SMG) and the first SMG UD treebank to annotate Verbal Multiword Expressions (VMWEs). GUD contains material from fiction texts and various sites that use colloquial SMG. We describe the special annotation decisions we implemented with GUD, the pipeline we developed to facilitate the active annotation of new material, and we report on the method we designed to evaluate the performance of models trained on GUD as regards VMWE identification tasks.
%R 10.18653/v1/2025.mwe-1.3
%U https://aclanthology.org/2025.mwe-1.3/
%U https://doi.org/10.18653/v1/2025.mwe-1.3
%P 14-20
Markdown (Informal)
[VMWE identification with models trained on GUD (a UDv.2 treebank of Standard Modern Greek)](https://aclanthology.org/2025.mwe-1.3/) (Markantonatou et al., MWE 2025)
ACL
- Stella Markantonatou, Vivian Stamou, Stavros Bompolas, Katerina Anastasopoulou, Irianna Linardaki Vasileiadi, Konstantinos Diamantopoulos, Yannis Kazos, and Antonios Anastasopoulos. 2025. VMWE identification with models trained on GUD (a UDv.2 treebank of Standard Modern Greek). In Proceedings of the 21st Workshop on Multiword Expressions (MWE 2025), pages 14–20, Albuquerque, New Mexico, U.S.A.. Association for Computational Linguistics.