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This lecture introduces syntax and dependency parsing for multilingual natural language processing. It compares shift-reduce, graph-based, and transition-based approaches, including linguistic constraints and a demonstration of AutoLex.
Syllabus
Introduction
Universal Dependencies
Syntax vs Semantic
Semantics
Dependencies
Parsing
ShiftReduce
Classification
Graphbased
Graphbased vs Transitionbased
Dynamic Programming
Feature Extractor
Difficulty
Order insensitive encoder
Dependency parsing
Linguistic informed constraints
Definition of required agreement
Prediction task
Linguistic questions
General framework
Toolkit
Summary
Taught by
Graham Neubig