TensorFlow-Models/syntaxnet/g3doc/conll2017

CoNLL2017 Shared Task Instructions

We are pleased to provide a competitive baseline for the CoNLL2017 Shared Task on Dependency Parsing. Note that we are providing detailed tutorials to make it easier to use DRAGNN as a platform for improving upon the baselines.

Running the baselines

• Install SyntaxNet/DRAGNN following the install instructions in README.md
• Download the models here: [link]
• Download the contest data data and tools.
• Run the baseline_eval.py to run the pre-trained tokenizer and evaluate on the dev set.

You should obtain the following results on the dev sets:

NOTE: This will be filled in when the latest model results are available.

Language	No. tokens	Tokenization F1	UAS	LAS
Chinese	XX	XX	XX	XX

Using DRAGNN for developing your own models

We hope that DRAGNN will be useful as a starting point for deep learning parsing methods. We've provided a few recipes for alternative baselines in the examples/ directory; look for more coming soon!