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Found 4 papers, 3 papers with code
Remplacement de mentions pour l’adaptation d’un corpus de reconnaissance d’entités nommées à un domaine cible (Mention replacement for adapting a named entity recognition dataset to a target domain)
La reconnaissance d’entités nommées est une tâche de traitement automatique du langage naturel bien étudiée et utile dans de nombreuses applications.
Learning to Rank Context for Named Entity Recognition Using a Synthetic Dataset
Using this dataset, we train a neural context retriever based on a BERT model that is able to find relevant context for NER.
The Role of Global and Local Context in Named Entity Recognition
Pre-trained transformer-based models have recently shown great performance when applied to Named Entity Recognition (NER).
Data Augmentation for Robust Character Detection in Fantasy Novels
Named Entity Recognition (NER) is a low-level task often used as a foundation for solving higher level NLP problems.
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