Распределительное обучение
method
ID: distributionallearning
Related Papers
Efficient, Correct, Unsupervised Learning for Context-Sensitive Languages
A central problem for NLP is grammar in- duction: the development of unsupervised learning algorithms for syntax. In this pa- per we present a lattice-theoretic represen- tation for natural language …...
Consistent Unsupervised Estimators for Anchored PCFGs
AbstractLearning probabilistic context-free grammars (PCFGs) from strings is a classic problem in computational linguistics since Horning (1969). Here we present an algorithm based on distributional learning that is a consistent …...