Robbertje: A distilled dutch bert model
P Delobelle, T Winters, B Berendt - arXiv preprint arXiv:2204.13511, 2022 - arxiv.org
Pre-trained large-scale language models such as BERT have gained a lot of attention
thanks to their outstanding performance on a wide range of natural language tasks …
thanks to their outstanding performance on a wide range of natural language tasks …
Robbert-2022: Updating a dutch language model to account for evolving language use
P Delobelle, T Winters, B Berendt - arXiv preprint arXiv:2211.08192, 2022 - arxiv.org
Large transformer-based language models, eg BERT and GPT-3, outperform previous
architectures on most natural language processing tasks. Such language models are first …
architectures on most natural language processing tasks. Such language models are first …
Towards fine (r)-grained identification of event coreference resolution types
L De Langhe, O De Clercq, V Hoste - Computational Linguistics in …, 2022 - clinjournal.org
In this paper we present initial efforts to study complex event-event relations or event
coreference in the Dutch language. We are primarily interested in the event-subevent …
coreference in the Dutch language. We are primarily interested in the event-subevent …
Investigating Cross-Document Event Coreference for Dutch
L De Langhe, O De Clercq, V Hoste - Proceedings of the Fifth …, 2022 - aclanthology.org
In this paper we present baseline results for Event Coreference Resolution (ECR) in Dutch
using gold-standard (ie non-predicted) event mentions. A newly developed benchmark …
using gold-standard (ie non-predicted) event mentions. A newly developed benchmark …
Probing for dutch relative pronoun choice
G Bouma - Computational Linguistics in the Netherlands Journal, 2021 - clinjournal.org
We propose a linguistically motivated version of the relative pronoun probing task for Dutch
(where a model has to predict whether a masked token is either die or dat), collect realistic …
(where a model has to predict whether a masked token is either die or dat), collect realistic …
Exploring LLMs' Capabilities for Error Detection in Dutch L1 and L2 Writing Products
J Kruijsbergen, S Van Geertruyen, V Hoste… - … Linguistics in the …, 2024 - clinjournal.org
This research examines the capabilities of Large Language Models for writing error
detection, which can be seen as a first step towards automated writing support. Our work …
detection, which can be seen as a first step towards automated writing support. Our work …
Neuro-Symbolic Creative Artificial Intelligence for Humor
T Winters, L De Raedt - 2023 - lirias.kuleuven.be
In the rapidly evolving domain of artificial intelligence, large language models have shown
significant progress in generating text for creative applications, including humor. However …
significant progress in generating text for creative applications, including humor. However …
7 When do discourse markers affect computational sentence understanding?
The capabilities and use cases of automatic natural language processing (NLP) have grown
significantly over the last few years. While much work has been devoted to understanding …
significantly over the last few years. While much work has been devoted to understanding …