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This change adds an op that will take a text vocabulary file, read
it, and use it to create a pre-computed word embedding vector.

Updates protobuf version as previous (3.0.0b2) was no longer compatible and resulted in failing bazel tests during setup process.

This commit removes --no-preserve=all from
syntaxnet/dragnn/tools/build_pip_package.py. It was causing issues for
OSX developers, as that option is not available on OSX.

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

I had to figure this one out on my own. Probably belongs in the manual install notes.

SyntaxNet does not compile with gcc version 5.4.0 20160609 (Ubuntu
5.4.0-6ubuntu1~16.04.4). This leads to the error in #1194.

Including cmath and using the std namespace for isnan solves this
problem.

Second row had an extra set of dashes, making the markdown invalid and falling back to raw text instead of the intended table.

* 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

* Update documentation & tutorial for DRAGNN

* Release DRAGNN

* Update CoNLL evaluation table & evaluator.py

* Sync SyntaxNet with TensorFlow r1.0

* Fix typo back

* Fix Dockerfile to match TensorFlow 1.0

Fixes #657

For English News Corpus,
[Ling et al. (2015)](http://www.cs.cmu.edu/~lingwang/papers/emnlp2015.pdf)'s score is 
97.78 -> 97.44 (lower than SyntaxNet and Parsey Mcparseface)
according to [Andor et al. (2016)](http://arxiv.org/abs/1603.06042).

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.

* Update README.md

Added alternative way to install bazel. Because people have been facing problem and by mistake they are downloading the latest version.

* Update README.md

Fixed conll2tree.py; handling correctly a sentence that has multiple elements with identical representation (#292)

* Adding scripts for tokenization and parsing in new languages.

* Adding:
  - offset feature locator,
  - last word feature function,
  - untokenized text format.