SuPar

A Python package designed for structured prediction, including reproductions of many state-of-the-art syntactic/semantic parsers (with pretrained models for more than 19 languages), and highly-parallelized implementations of several well-known structured prediction algorithms.

Content

• SuPar
• Models
  • Dependency Parsing
  • Constituency Parsing
  • Semantic Dependency Parsing
• Structs
  • Distribution
  • Semirings
  • Chain
  • Tree
  • Variational Inference
  • Function
• Modules
  • LSTM Layers
  • GNN Layers
  • Affine Layers
  • Embedding Layers
  • Dropout Layers
  • Linear Layers
• Utils
  • Data
  • Field
  • Transform
  • Vocab
  • Embedding
  • Function
• References

Indices and tables

• Index

• Module Index

• Search Page

Acknowledgements

The implementations of structured distributions and semirings are heavily borrowed from torchstruct with some tailoring.