SuPar v1.0.0

Release Notes

Released Models

The following parsers are released in SuPar package and the corresponding English/Chinese pretrained models can be found in the attachments.

• Dependency Parser
  • Biaffine Dependency Parser (Dozat and Manning, 2017)
  • Non-Projective CRF Dependency Parser with Matrix Tree (Koo et al., 2007; Ma and Hovy, 2017)
  • Projective First-Order CRF Dependency Parser (Zhang et al., 2020a)
  • Projective Second-Order Dependency Parser (Zhang et al, 2020a)
• Constituency Parser
  • CRF Constituency Parser (Zhang et al, 2020b)

References

• Timothy Dozat and Christopher D. Manning. 2017. Deep Biaffine Attention for Neural Dependency Parsing.
• Terry Koo, Amir Globerson, Xavier Carreras and Michael Collins. 2007. Structured Prediction Models via the Matrix-Tree Theorem.
• Xuezhe Ma and Eduard Hovy. 2017. Neural Probabilistic Model for Non-projective MST Parsing.
• Yu Zhang, Houquan Zhou and Zhenghua Li. 2020. Fast and Accurate Neural CRF Constituency Parsing.
• Yu Zhang, Zhenghua Li and Min Zhang. 2020. Efficient Second-Order TreeCRF for Neural Dependency Parsing.