Publications
Alrahabi, M. and Amalvy, A. and Labatut, V. and Maurel, P. (2025). De l'annotation intégrale à l'analyse des réseaux de personnages : un modèle pour la REN dans les textes littéraires en français, Revue TAL : traitement automatique des langues.
Amalvy, A. (2020). Natural Language Processing applied to Interactive Character Relationships Visualization in Novels, National Central University.
Amalvy, A. and Huang, H. (2026). Beyond Known Facts: Generating Unseen Temporal Knowledge to Address Data Contamination in LLM Evaluation, arXiv.
Amalvy, A. and Janickyj, M. and Mannion, S. and MacCarron, P. and Labatut, V. (2024). Interconnected Kingdoms: Comparing 'A Song of Ice and Fire' Adaptations Across Media Using Complex Networks, Social Network Analysis and Mining (SNAM).
Amalvy, A. and Labatut, V. (2024). Annotation Guidelines for Corpus Novelties: Part 2 –- Alias Resolution, Avignon Université.
Amalvy, A. and Labatut, V. (2024a). Annotation Guidelines for Corpus Novelties: Part 1 –- Named Entity Recognition, Avignon Université.
Amalvy, A. and Labatut, V. and Dufour, R. (2025). The Role of Natural Language Processing Tasks in Automatic Literary Character Network Construction.
Amalvy, A. and Labatut, V. and Dufour, R. (2024). Renard: A Modular Pipeline for Extracting Character Networks from Narrative Texts, The Open Journal.
Amalvy, A. and Labatut, V. and Dufour, R. (2023). Learning to Rank Context for Named Entity Recognition Using a Synthetic Dataset.
Amalvy, A. and Labatut, V. and Dufour, R. (2023a). The Role of Global and Local Context in Named Entity Recognition.
Amalvy, A. and Labatut, V. and Dufour, R. (2022). Remplacement de mentions pour l'adaptation d'un corpus de reconnaissance d'entités nommées à un domaine cible.
Amalvy, A. and Labatut, V. and Dufour, R. (2022a). Data Augmentation for Robust Character Detection in Fantasy Novels, HAL.
Amalvy, A. and Labatut, V. and Huang, H.-H. and Bost, X. (2026). Overcoming Copyright Barriers in Corpus Distribution Through Non-Reversible Hashing.