nlp.md

Natural Language Process

• Lecture

  • standford cs224n Natual Language Processing With Deep Learning
  • oxford 2016-2017 Deep Learning for Natural language Process, lectures

• understanding-natural-language-deep-neural-networks-using-torch

• deep-learning-nutshell-sequence-learning

• Deep Learning for NLP(without Magic)

• Deep Learning for Natural Language Processing

• Natural Language Processing Application of Deep Learning

• Deep Learning for NLP resources

• Natural Language Understanding

• Natural Language Understanding with Distributed Representations

• awesome-nlp

• BiLSTM 헤게모니

• Attention Model

  • Show, attend and Tell : Neural Image Caption Generation with Visual Attention

  • stackoverflow how to add an attention mechanism in keras

  • How to add Attention on top of a Recurrnet Layer Text Classification

  • Text classification git hub

  • Effective Approaches to Attention-based Neural Machine Translation

  • Attention is all you need 논문 한글 리뷰 Michal Chromiak'sblog

  • How to Develop an Encoder-Decoder Model with Attention for Sequence-to-Sequence Prediction in Keras

  • Attention and Memory in Deep Learning and NLP

  • keras-attention git hub link

  • Towards Data Science, Attention Models in NLP a quick introduction

  • 한글 블로그

    • 어텐션 메커니즘 어텐션 메커니즘2
    • 어텐션 메커니즈 시각화
    • 딥러닝이 덧셈하는법 어텐션 메커니즘으로 살펴보기
    • what is attention mechanism, youtube 간접 링크
    • lecture 6 Attention Mechanism
    • 뉴욕대 조경현 교수님 자연어처리 강의

• Text Classification

  • Best Practices for Document Classification with Deep Learning
    • Word Embedding + CNN
    • Single Layer Cnn Archirecture
    • dial in CNN Hyperparameters
    • Consider Character-Level Cnns
    • Consider Deeper CNNs for Classification
      • Very Deep Convolution Networks for Text Classification
  • Document Classification kdnuggets
  • for Korean
    • lovit github
      • 한국어 텍스트 마이닝을 위한 튜토리얼
    • Konlpy
      • 박은정님이 공개하신 한국어 형태소 분석기 라이브러리 묶음