v3.0

Key Features and Improvements

• Multiple End-to-End Models for Russian and English:
  • Russian (rstreebank): As always, this version includes a model trained on RuRSTreebank, providing robust parsing capabilities for Russian texts.
  • Bilingual Model (gumrrg): A new bilingual model trained on a mix of GUM and RRG, offering enhanced parsing performance across multiple genres.
  • English Model (rstdt): An English model trained on the RST-DT benchmark.
• Modified DMRST Architecture: We have implemented modifications to the DMRST architecture, improving both segmentation and tree construction.