Нейросимволические модели
method
ID: neurosymbolicmodels
Related Papers
Structural generalization is hard for sequence-to-sequence models
AbstractSequence-to-sequence (seq2seq) models have been successful across many NLP tasks,including ones that require predicting linguistic structure. However, recent work on compositional generalization has shown that seq2seq models achieve very low …...