Here is the detailed list of subjects from lecture 14 that we have presented in class and that will be matter of evaluation at the finals.
Lecture 14: Dependency Parsing
Content: Dependency trees and grammatical functions. Dependency grammars, projective and non-projective trees. Dependency tree banks and universal dependency project. Transition-based dependency parsing. Arc-standard parser: transition definition, oracle algorithm, and generation of training data. Feature extraction: feature functions and feature templates. Neural architectures for dependency parsing: case study, Kiperwasser & Goldberg 2016; feature extraction using bidirectional LSTM; training algorithm using hinge loss.
References: Jurafsky & Martin, chapter 19; skip section 19.3. Slides from the lecture for the part on neural dependency parsing.