Konstantinos Diamantopoulos


Fixing paper assignments

  1. Please select all papers that belong to the same person.
  2. Indicate below which author they should be assigned to.
Provide a valid ORCID iD here. This will be used to match future papers to this author.
Provide the name of the school or the university where the author has received or will receive their highest degree (e.g., Ph.D. institution for researchers, or current affiliation for students). This will be used to form the new author page ID, if needed.

TODO: "submit" and "cancel" buttons here


2025

pdf bib
VMWE identification with models trained on GUD (a UDv.2 treebank of Standard Modern Greek)
Stella Markantonatou | Vivian Stamou | Stavros Bompolas | Katerina Anastasopoulou | Irianna Linardaki Vasileiadi | Konstantinos Diamantopoulos | Yannis Kazos | Antonios Anastasopoulos
Proceedings of the 21st Workshop on Multiword Expressions (MWE 2025)

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.