For reasons of comparability and fairness, the MRP 2018 shared task imposes
some constraints on which third-party data or pre-trained models can be used in
addition to the resources distributed by the task organizers.  Following is a
‘white-list’ of legitimate resources, which was constructed from nominations by
prospective participants.  The deadline for suggesting additional resources is
Monday, June 3, 2019.

In general, only resources that all participants could in principle obtain are
considered for white-listing.  Some of the MRP task data intricately overlaps
with common syntactic treebanks.  Therefore, a general rule is that resources
like the Penn Treebank, its derivatives like PropBank or PCEDT, as well as the
Universal Dependencies treebanks cannot be used in MRP system development; for
parsers who start from syntactic analysis, the MRP morpho-syntactic companion
data should offer a good vantage point, we hope:

  http://svn.nlpl.eu/mrp/2019/public/companion.tgz

The parser and models used to produce the morpho-syntactic companion trees will
be released to the public upon completion of the shared task.  Within reason,
the organizers can parse additional corpora for participants, provided that the
text and parses can be shared will all participants.  Anyone who would like to
use this service please contact ‘mrp-organizers@nlpl.eu’, to discuss specifics
of data preparation and turnaround time.


+ CoNLL 2017 texts and embeddings: http://hdl.handle.net/11234/1-1989

+ NLPL EngC3 Corpus: http://corpora.nlpl.eu/engc3/10/txt/

+ Wikipedia dumps: https://dumps.wikimedia.org/

+ BERT: https://github.com/google-research/bert

+ ELMo: https://github.com/allenai/allennlp/blob/master/tutorials/how_to/elmo.md

+ ERNIE: https://github.com/thunlp/ERNIE

+ FastText: https://fasttext.cc/docs/en/english-vectors.html

+ GloVe embeddings: https://nlp.stanford.edu/projects/glove/

+ NLPL Vectors Repository: http://vectors.nlpl.eu

+ Illinois Named Entity Tagger: https://cogcomp.org/page/software_view/NETagger

+ FrameNet: https://framenet.icsi.berkeley.edu

+ Older (Version 1) UCCA annotations of ‘20K Leagues Under The Sea’:
  https://github.com/UniversalConceptualCognitiveAnnotation/UCCA_English-20K
  https://github.com/UniversalConceptualCognitiveAnnotation/UCCA_German-20K
  https://github.com/UniversalConceptualCognitiveAnnotation/UCCA_French-20K

+ CzEngVallex: http://hdl.handle.net/11234/1-1512

+ ERG SEM-I: http://svn.delph-in.net/erg/tags/1214/etc

+ VerbNet: http://verbs.colorado.edu/verb-index/vn/verbnet-3.2.tar.gz

+ ConceptNet: http://conceptnet.io/

+ Microsoft Concept Graph: https://concept.research.microsoft.com/Home/Download