yzhangcs/parser
A Python package for structured prediction in NLP, implementing state-of-the-art neural parsers with pretrained models.
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SuPar provides implementations of neural network-based parsers for syntactic and semantic NLP tasks including dependency parsing, constituency parsing, and semantic dependency parsing. It includes biaffine parsers, CRF-based models, and semi-Markov CRFs with parallelized structured prediction algorithms. The package offers pretrained models for over 19 languages and builds on PyTorch and Transformers.
Frequently asked
- What is yzhangcs/parser?
- A Python package for structured prediction in NLP, implementing state-of-the-art neural parsers with pretrained models.
- Is parser open source?
- Yes — yzhangcs/parser is open source, released under the MIT license.
- What language is parser written in?
- yzhangcs/parser is primarily written in Python.
- How popular is parser?
- yzhangcs/parser has 878 stars on GitHub.
- Where can I find parser?
- yzhangcs/parser is on GitHub at https://github.com/yzhangcs/parser.