Journal article
Abigail Walsh, Teresa Lynn, Jennifer Foster
Workshop on Multiword Expressions, 2022
Workshop on Multiword Expressions, 2022
Semantic Scholar
DBLP
Cite
Cite
APA
Click to copy
Walsh, A., Lynn, T., & Foster, J. (2022). A BERT’s Eye View: Identification of Irish Multiword Expressions Using Pre-trained Language Models. Workshop on Multiword Expressions.
Chicago/Turabian
Click to copy
Walsh, Abigail, Teresa Lynn, and Jennifer Foster. “A BERT’s Eye View: Identification of Irish Multiword Expressions Using Pre-Trained Language Models.” Workshop on Multiword Expressions (2022).
MLA
Click to copy
Walsh, Abigail, et al. “A BERT’s Eye View: Identification of Irish Multiword Expressions Using Pre-Trained Language Models.” Workshop on Multiword Expressions, 2022.
BibTeX Click to copy
@article{abigail2022a,
title = {A BERT’s Eye View: Identification of Irish Multiword Expressions Using Pre-trained Language Models},
year = {2022},
journal = {Workshop on Multiword Expressions},
author = {Walsh, Abigail and Lynn, Teresa and Foster, Jennifer}
}
Abstract
This paper reports on the investigation of using pre-trained language models for the identification of Irish verbal multiword expressions (vMWEs), comparing the results with the systems submitted for the PARSEME shared task edition 1.2. We compare the use of a monolingual BERT model for Irish (gaBERT) with multilingual BERT (mBERT), fine-tuned to perform MWE identification, presenting a series of experiments to explore the impact of hyperparameter tuning and dataset optimisation steps on these models. We compare the results of our optimised systems to those achieved by other systems submitted to the shared task, and present some best practices for minority languages addressing this task.
