7 citations · 20 across the 5 of their papers we have counts for
4 papers · 1 filter
RobBERT-2022: Updating a Dutch Language Model to Account for Evolving Language Use
Pieter Delobelle, Thomas Winters, Bettina Berendt
Large transformer-based language models, e.g. BERT and GPT-3, outperform previous architectures on most natural language processing tasks. Such language models are first pre-traine…
RobBERTje: a Distilled Dutch BERT Model
Pieter Delobelle, Thomas Winters, Bettina Berendt
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. However, due…
RobBERT: a Dutch RoBERTa-based Language Model
Pieter Delobelle, Thomas Winters, Bettina Berendt
Pre-trained language models have been dominating the field of natural language processing in recent years, and have led to significant performance gains for various complex natural…
Generating Philosophical Statements using Interpolated Markov Models and Dynamic Templates
Thomas Winters
Automatically imitating input text is a common task in natural language generation, often used to create humorous results. Classic algorithms for learning to imitate text, e.g. sim…