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