1 Generative models defining joint distributions over parse trees and sentences are good theoretical models for interpreting natural language data, and appealing tools for tasks such as parsing, grammar induction and language modeling (Collins, 1999;Henderson, 2003;Titov and Henderson, 2007;Petrov and Klein, 2007;Dyer et al., 2016).
they often impose strong independence assumptions which restrict the use of arbitrary features for effective disambiguation.