Stack Pointer Network for CoNLL2018 Shared Task
This is the code for our paper: Joint Learning of POS and Dependencies for Multilingual Universal Dependency Parsing
The code is based on NeuroNLP2, we are very appreciate the contribution of Xuezhe Ma.
Requirements
Python 2.7, PyTorch >=0.3.0, Gensim >= 0.12.0
Running the experiments
Universal Dependency Parsing
To train a Joint-POS-Stack-Pointer parser, simply run
./example/run_stackPtrParser_CoNLLU.sh
Remeber to setup the paths for data and embeddings.
You can train multiple model in different language by
./train.py
and evaluate multiple model by
./run.py