Update DKpro components from 1.5.0 to 1.6.2

We are in process to updating to SVN snapshot version to start sharing
model data, let's do it gradually.
Update to 1.7.0-SNAPSHOT (we use -gpl- svn r518)

We need to explicitly enable StanfordParser.WRITE_POS as true.
StanfordParser: Enable PARAM_SHARED_MODEL in all instances of the annotator

This brings in quite dramatic memory usage reduction:

	without SHARED_MODEL: [INFO] Final Memory: 1575M/3291M
	with    SHARED_MODEL: [INFO] Final Memory: 1171M/2079M

Thanks a lot to Richard Eckart of dkpro for making this possible.

Let's hope we can do the same for the rest of annotators too.
Fetch 1.7.0-SNAPSHOT from ukp-public-snapshots

The user doesn't have to build the dkpro from svn on their own anymore.
Kindly suggested by Richard Eckart.

It is a little problematic since our build is not reproducible right now
and changes in dkpro before 1.7.0 may randomly affect our performance.
However, the memory savings are too massive and tempting, given that
1.7.0 release is planned for November which isn't so far away.
BerkeleyParser: Remove our own implementation

We don't use it anymore, so let's not include foreign namespace classes
if we can avoid it; for anyone who wants to switch, perhaps new dkpro
versions can handle this already, or they can resurrect this from the
git history.
desc.type.Constituency.xml: Remove, not needed anymore
Merge branch 'master' into sharedmodels
README: Remove paragraph about third-party namespace
SVGenerator: Ignore non-verb NSUBJ governors

New StanfordParser we got after dkpro update generates these (and it
makes sense, just not at all what we want here).
question.SVGenerator: Perform a proper fallback between the rules

E.g. 'What is the name of the famous dogsledding race held each year in Alaska?' should yield 'held', not give up after 'what'.
TreeUtil.getAllGoverned(): Adjust for StanfordParser now contracting out 'of' from 'prep_of'
LATByFocus: Special-case LAT 'many' as 'quantity'
AnswerScoreLogistic: Retrained with new parser etc.
DBpediaTitles: Fix crash on certain single-letter words in question
AF_OriginMultiple: New feature

Ideally, we would have a multi-level ANN for figuring out these
aggregate features, but before we move on to this classifier, this in
particular seems extremely desirable.

E.g. @originPsgNE is a (surprisingly strong) negative signal, but that's
more likely for the cases where it's a sole origin of the answer and it
shouldn't reduce the score of an answer that was also suggested in other
ways.

This is an even more desirable feature now that the new StanfordParser
version produces much less NP phrases than before.
AnswerScoreLogistic: Retrained with new feature
data/eval/tsvout-stats.sh: Allow listing just train / test results
data/eval/curated-measure.sh: Remove GC tweaks, not necessary with new models