XuezheMax/NeuroNLP2
A PyTorch library implementing deep neural models for core NLP tasks including dependency parsing, NER, and sequence labeling.
Not currently ranked — collecting fresh signals.
star history
NeuroNLP2 provides re-implementations of research-grade neural models for NLP including Bi-directional LSTM-CNNs-CRF for sequence labeling, Stack-Pointer Networks and Deep Biaffine Attention for dependency parsing, and Neural MST parsing. The library implements several landmark papers from ACL and ICLR and supports batch processing for faster decoding.
Frequently asked
- What is XuezheMax/NeuroNLP2?
- A PyTorch library implementing deep neural models for core NLP tasks including dependency parsing, NER, and sequence labeling.
- Is NeuroNLP2 open source?
- Yes — XuezheMax/NeuroNLP2 is open source, released under the GPL-3.0 license.
- What language is NeuroNLP2 written in?
- XuezheMax/NeuroNLP2 is primarily written in Python.
- How popular is NeuroNLP2?
- XuezheMax/NeuroNLP2 has 437 stars on GitHub.
- Where can I find NeuroNLP2?
- XuezheMax/NeuroNLP2 is on GitHub at https://github.com/XuezheMax/NeuroNLP2.