kaushikacharya/Natural_Language_Processing_with_Deep_Learning_CS224n

Natural Language Processing with Deep Learning - CS224n Stanford course

CS224n: Natural Language Processing with Deep Learning

Course info

• Course website
• This repository follows the Winter 2019 session.

Assignment Solutions

• Assignment #1: Exploring Word Vectors
• Assignment #2: word2vec
  • Written: Understanding word2vec
  • Coding: Implementing word2vec
• Assignment #3: Dependency Parsing
  • Written: Dependency Paring
  • Coding: Neural Transition-Based Dependency Parsing
• Assignment #4: Neural Machine Translation with RNNs and Analyzing NMT Systems
  • Written
  • Coding: Neural Machine Translation with RNNs

Note: For the programming assignments, have uploaded only the scripts which I have changed. For the rest of the files, one needs to download Winter 2019 assignments.

Projects

Mentioned below in the projects are the topics covered in this course.

• Named Entity Recognition (NER) for Occupation Recognition on Spanish Medical Documents
  • NER
    • Features included Dependency Parse Tree
  • Entity Normalization (Entity Linking)
    • Fasttext's subword embedding

Related course(s)

• Introduction to Deep Learning and Neural Networks
• Neural Networks for Machine Learning

Personal Website

• kaushikacharya.github.io