Natural Language Processing with Deep Learning

(SNU Computational Linguistics, Stanford CS224N)

Introduction

Hi there! Welcome to my repository of NLP projects I've done throughout the NLP with Deep Learning I took at SNU, which mostly follows Stanford's CS224n: Natural Language Processing with Deep Learning.

Content

• Topics covered

  • Regular Expression
  • N-Gram Language Models
  • Naive Bayes Classifier
  • Sentiment Classification
  • Logistic Regression
  • Vector Semantics and Embeddings
  • Sequence Labeling (POS, NER)
  • Neural Networks and Neural Language Models
    • Fast-Forward Neural Network
      • Project: FFNN for Gender Prediction of Names
    • Convolutional Neural Network
      • Project: CNNs for Sentence Classification
      • CNNs for Visual Recognition
    • Recurrent Neural Networks
      • seq2seq for Machine Translation and Encoder-Decoder Models
      • LSTM for Part-of-Speech Tagging
  • Contextual Language Models
    • BERT

• Projects

  • Name Gender Prediction using a Fast-Forward Neural Network
  • Emotion Recognition using Convolutional Neural Network
  • Named Entity Recognition using a Long Short-Term Memory Recurrent Neural Network

Written by: Jang Woo Park