3 citations · 3 across the 3 of their papers we have counts for
3 papers
NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification Tasks
Jean-Michel Attendu, Jean-Philippe Corbeil
Finetuning large language models inflates the costs of NLU applications and remains the bottleneck of development cycles. Recent works in computer vision use data pruning to reduce…
Building the Intent Landscape of Real-World Conversational Corpora with Extractive Question-Answering Transformers
Jean-Philippe Corbeil, Mia Taige Li, Hadi Abdi Ghavidel
For companies with customer service, mapping intents inside their conversational data is crucial in building applications based on natural language understanding (NLU). Nevertheles…
BET: A Backtranslation Approach for Easy Data Augmentation in Transformer-based Paraphrase Identification Context
Jean-Philippe Corbeil, Hadi Abdi Ghadivel
Newly-introduced deep learning architectures, namely BERT, XLNet, RoBERTa and ALBERT, have been proved to be robust on several NLP tasks. However, the datasets trained on these arc…