Contact Addresses

There is a moderated mailing list mrp-users@nlpl.eu for task participants (or candidate future users of the data and evaluation software).  All interested parties are kindly asked to self-subscribe to this list.  The archives of the mailing list are open to the public (including all posts regarding the predecessor 2019 shared task), as the list is intended both for updates from the organizers and for general discussion among participants.

Additionally, the organizers of the MRP 2020 parsing task can be reached at the following address:

   mrp-organizers@nlpl.eu

News & Updates

June 22, 2020
We hope that we have packaged the final version of the MRP 2020 training data, now available via the LDC.  To compensate for delays in producing some of the companion data, we have extended the evaluation period by one week, to July 27 through August 10, 2020.
June 28, 2020
The ‘white-list’ of third-party data, models, and tools that can be used in addition to the MRP 2020 training, validation, and companion data is now finalized.  Please observe the caveat regarding pre-trained, off-the-shelf syntactic parsers.
June 4, 2020
An updated MRP 2020 data package is now available for download via the LDC, providing new meaning representations graphs for additional languages and high-quality morpho-syntactic syntactic dependency parses.
May 25, 2020
We are running a few days late in wrapping up the cross-lingual training data, as well as the optional syntactic ‘companion’ dependency trees, for release via the LDC; we have pushed back the release date to Monday, June 1.
April 28, 2020
English training and validation data is now available for no-cost licensing through the Linguistic Data Consortium (LDC).  The pages summarizing data and tools and evaluation have been updated accordingly.
March 30, 2020
The initial task web site is on-line, a starting data package is available, and the first call for participation has been posted to major mailing list.  Please sign up for the task mailing list to receive continuous updates.

Task Co-Organizers

Acknowledgements

We are grateful to the Nordic Language Processing Laboratory (NLPL), which provides technical infrastructure for the MRP 2020 task.  Also, we warmly acknowledge the assistance of the Linguistic Data Consortium (LDC) in distributing the training data for the task to participants at no cost to anyone.

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