GitLab

* Release DRAGNN bulk networks

- add patch package to make bazel work with @opt
- CI configured is trying to get git version, which lead to fail since the parents folders are not copied
- bazel version was too old for the new tensorflow version
- bazel not finding PYTHON_BIN_PATH, add ENV command as a workaround

This fixes the 'running as root is not recommended' crash

* Release DRAGNN

* Update CoNLL evaluation table & evaluator.py

* Update documentation & tutorial for DRAGNN

* Update the DRAGNN

* Tutorial link

* Release DRAGNN

* Update CoNLL evaluation table & evaluator.py

* Sync SyntaxNet with TensorFlow r1.0

* Fix typo back

* Fix Dockerfile to match TensorFlow 1.0

Updates to syntaxnet, including update tensorflow sub-module, bazel requirement and fix trainer crash (#479)

* syntaxnet: Cosmetic fixes recommended by python lint.

* syntaxnet: Fix crash in parser_trainer due to inconsistency between LexiconBuilder::Compute()
	   and context.pbtxt definition ('char-map' input declaration was missing).

* syntaxnet: reduce flakiness in GraphBuilderTest.

* syntaxnet: Update tensorflow submodule to version > 0.10.

* syntaxnet: Update to latest stable bazel (0.3.1).

This update comes partially to allow Tensorflow submodule to build
succesffuly. In this commit, I also update and simplify the WORKSPACE,
to avoid declaring dependencies already present in tensorflow.

* syntaxnet: Update bazel version check to require version 0.3.0

* syntaxnet: Document pip requirement, along with python mock module.

As Docker builds are layer by layer, removing cached package files in different layers do not reduce image size. To reduce image size, cached packages have to removed in the same layer i.e., `RUN` command as the packages have been installed.
Signed-off-by: Riyad Parvez <social.riyad@gmail.com>

* Updating TF submodule to latest and adding a Dockerfile example.

* Extra \n in ./configure.

* Updating Dockerfile to use bazel 0.2.2b.

* Replacing a mention of treebank_union with PMP in the README.