3 papers
cs.CL2023
Structural generalization in COGS: Supertagging is (almost) all you need
Alban Petit, Caio Corro, François Yvon
In many Natural Language Processing applications, neural networks have been found to fail to generalize on out-of-distribution examples. In particular, several recent semantic pars…
cs.CL2023
On graph-based reentrancy-free semantic parsing
Alban Petit, Caio Corro
We propose a novel graph-based approach for semantic parsing that resolves two problems observed in the literature: (1) seq2seq models fail on compositional generalization tasks; (…
cs.LG2023
On the inconsistency of separable losses for structured prediction
Caio Corro
In this paper, we prove that separable negative log-likelihood losses for structured prediction are not necessarily Bayes consistent, or, in other words, minimizing these losses ma…