Natural Language Processing (NLP)

• Models
  • Punctuation and Capitalization Model
  • Token Classification (Named Entity Recognition) Model
  • Joint Intent and Slot Classification
  • Text Classification Model
  • BERT
  • Language Modeling
  • Question Answering Model
  • Dialogue State Tracking - SGD-QA Model
  • GLUE Benchmark
  • Information Retrieval
  • Model NLP
  • Machine Translation Models
• Megatron-LM for Downstream Tasks
  • Fine-tuning
  • BioMegatron
  • References
• NeMo NLP collection API
  • Model Classes
  • Modules

Example scripts for NLP collection can be found under NeMo/example/nlp/.

NLP notebook-tutorials are located under NeMo/tutorials/nlp/ (most NeMo tutorials can be run on Google’s Colab.), more details could be found here at Tutorials.

If you’re just starting with NeMo, the best way to start is to take a look at:

• Text Classification (Sentiment Analysis) - demonstrates how to a Text Classification model using NeMo NLP collection.

• NeMo Primer - introduces NeMo, PyTorch Lightning and OmegaConf, and shows how to use, modify, save, and restore NeMo Models

• NeMo Models - fundamental concepts of the NeMo Model

• NeMo voice swap demo - demonstrates how to swap a voice in the audio fragment with a computer generated one using NeMo.