SemiAmor : Amortized Lagrangian Prediction for NLP
ANR CE23-2023-0005
SemiAmor is an ANR-funded project spanning 4 years (2024-2027). It aims to bridge semi-amortized methods developed in probabilistic inference and Lagrangian relaxation for Natural Language Processing
Meetings
Meeting 07/06/24
Finally the finances are sorted out, the project can begin! For our first meeting we discussed:
- Joseph Le Roux (PI) summarized the structure of the project.
- Francesco Demelas presented some work on the Prediction of Lagrangian Multipliers for MILPs, accepted at ICML24.
- Joseph Le Roux presented some preliminary work on Amortization and LR for supervised POS-tagging.
- Caio Corro presented some preliminary results on using Bregman divergence for weakly supervised POS tagging.