3 citations · 7 across the 11 of their papers we have counts for
3 papers · 2 filters
Learning to Rank Context for Named Entity Recognition Using a Synthetic Dataset
Arthur Amalvy, Vincent Labatut, Richard Dufour
While recent pre-trained transformer-based models can perform named entity recognition (NER) with great accuracy, their limited range remains an issue when applied to long document…
The Role of Global and Local Context in Named Entity Recognition
Arthur Amalvy, Vincent Labatut, Richard Dufour
Pre-trained transformer-based models have recently shown great performance when applied to Named Entity Recognition (NER). As the complexity of their self-attention mechanism preve…
Data Augmentation for Robust Character Detection in Fantasy Novels
Arthur Amalvy, Vincent Labatut, Richard Dufour
Named Entity Recognition (NER) is a low-level task often used as a foundation for solving higher level NLP problems. In the context of character detection in novels, NER false nega…