Neural Networks for Natural Language Processing (Indonesian)

Gentle introduction to linguistic tasks in the deep learning era

13.00 - 13.45: An Overview of Natural Language Processing

  • Three phases of NLP: Classical, Statistical and the Deep Learning era
  • Hacking neural networks for word embeddings

13.45 - 14.45: Math first introduction to neural network

  • Training machines for language understanding
  • Challenges in Bahasa Indonesia NLP
  • Deriving meanings from context

14.45 - 15.30: Code demo

  • Demo on Word Embeddings and text prediction using Bahasa Indonesia corpus
  • Tips, tools (open source and commercial), strategies and comparison of approaches to Bahasa Indonesia NLP

15.30 - 16.30: Q&A

  • Taking advantage of free tools
  • Free resources for Bahasa Indonesia NLP
  • Implementation first-steps