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cs.LG2025
Bregman Conditional Random Fields: Sequence Labeling with Parallelizable Inference Algorithms
Caio Corro, Mathieu Lacroix, Joseph Le Roux
We propose a novel discriminative model for sequence labeling called Bregman conditional random fields (BCRF). Contrary to standard linear-chain conditional random fields, BCRF all…
cs.CL2025
Scaling Graph-Based Dependency Parsing with Arc Vectorization and Attention-Based Refinement
Nicolas Floquet, Joseph Le Roux, Nadi Tomeh +1
We propose a novel architecture for graph-based dependency parsing that explicitly constructs vectors, from which both arcs and labels are scored. Our method addresses key limitati…