https://github.com/seujung/gluonnlp_tutorial?fbclid=IwAR1dVxeXYp06Zr4h4OFjL38W6enZ4SjJd27n7MSkmt4v9wKOtj9Sol5B3Es

GluonNLP tutorial for Pycon2019
https://github.com/seujung/gluonnlp_tutorial?fbclid=IwAR1dVxeXYp06Zr4h4OFjL38W6enZ4SjJd27n7MSkmt4v9wKOtj9Sol5B3Es

gluonnlp mxnet nlp

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GluonNLP tutorial for Pycon2019

• Host: GitHub
• URL: https://github.com/seujung/gluonnlp_tutorial?fbclid=IwAR1dVxeXYp06Zr4h4OFjL38W6enZ4SjJd27n7MSkmt4v9wKOtj9Sol5B3Es
• Owner: seujung
• Created: 2019-08-13T23:52:57.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-08-16T05:26:28.000Z (about 5 years ago)
• Last Synced: 2024-08-03T11:08:55.651Z (3 months ago)
• Topics: gluonnlp, mxnet, nlp
• Language: Jupyter Notebook
• Homepage:
• Size: 1.79 MB
• Stars: 14
• Watchers: 3
• Forks: 7
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-nlp-note - Pycon 2019 Tutorial GluonNLP tutorial

README

        
# Pycon 2019 Tutorial

## 딥러닝 NLP 손쉽게 따라해보기

---

1. MXNet Basic

      - [Slide](slide/1.MXNet_Basic.pdf)

      - Code

        - Intro to NDArray [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/seujung/gluonnlp_tutorial/blob/master/code/1-1.Intro_to_NDArray.ipynb)

        - Basic Deep Learning Model [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/seujung/gluonnlp_tutorial/blob/master/code/1-2.Basic_Deeplearning_Model.ipynb)

2. Embedding

    - [Slide](slide/2.Word_Embedding.pdf)

    - Code

      - Word Embedding [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/seujung/gluonnlp_tutorial/blob/master/code/2.Word_embedding.ipynb)

3. RNN, Attention, BERT with GluonNLP

    - [Slide](slide/3_bert.pdf)

    - code

      - Intent Classification [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/seujung/gluonnlp_tutorial/blob/master/code/3_1_intent_classification_pycon2019.ipynb)

      - Entity Tagging [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/seujung/gluonnlp_tutorial/blob/master/code/3_2_entity_tagging_pycon2019.ipynb)

      - NSMC with BERT [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/seujung/gluonnlp_tutorial/blob/master/code/3_3_naver_review_classifications_gluon_bert.ipynb)

---

## [Reference]

- GluonNLP Tutorial (KDD 2018) : https://kdd18.mxnet.io/

- JSALT 2019 NLP Tutorial: https://jsalt19.mxnet.io/

- Dive into Deep Learning (NLP) : https://www.d2l.ai/chapter_natural-language-processing/index.html

- GluonNLP Official Tutorial : https://gluon-nlp.mxnet.io/examples/index.html