Learning Path

NLP Basics: Tokenization, POS Tagging, and Parsing → Practical Project: Building a Relation Extraction System

A systematic graduate-level path for NLP practitioners to master relation extraction (RE), covering foundational NLP and linguistic concepts, traditional supervised and distant supervision methods, neural architectures, open information extraction, and evaluation with standard datasets. The path progresses from core prerequisites through classical techniques to advanced neural models, emphasizing practical application and critical evaluation.