Published numerous research papers on natural language processing and optimization algorithms, including:
- Bregman CRF: Sequence Labeling with Parallelizable Inference Algorithms
- Scaling Graph-Based Dependency Parsing with Arc Vectorization and Attention-Based Refinement
- Predicting Lagrangian Multipliers for Mixed Integer Linear Programs
- Attention sur les spans pour l’analyse syntaxique en constituants
- Higher-Order Dependency Parsing for Arc-Polynomial Score Functions via Gradient-Based Methods and Genetic Algorithm
Research Experience
Published papers in several international conferences including ACL, NAACL, ICML; supervised Ph.D. student Francesca Demelas to complete her thesis.
Background
Professor, working in the field of Natural Language Processing (NLP) with a focus on Machine Learning for Optimization. Currently employed at USPN (Paris 13).