Introduction to transition based dependency parsing.
Word2Vec using continuous bag-of-words
Code first explanation of using neural nets to create word embeddings using continuous bag-of-words (CBOW).
Reading Comprehension Systems
Overview of NLP reading comprehension systems, from early heuristic based to modern neural nets.
Word vectors - Why they are fundamental for NLP and how to create them (part 1)
Word vectors are how you represent words so that computers can understand a word's meaning.
How to deeply understand your customers
How the jobs-to-be-done framework helps you to deeply understand your customers