@inproceedings{27051274d4c748fa91801e05d685cc4b,
title = "MRP 2019: Cross-framework meaning representation parsing",
abstract = "The 2019 Shared Task at the Conference for Computational Language Learning (CoNLL) was devoted to Meaning Representation Parsing (MRP) across frameworks. Five distinct approaches to the representation of sentence meaning in the form of directed graphs were represented in the training and evaluation data for the task, packaged in a uniform graph abstraction and serialization. The task received submissions from eighteen teams, of which five do not participate in the official ranking because they arrived after the closing deadline, made use of extra training data, or involved one of the task co-organizers. All technical information regarding the task, including system submissions, official results, and links to supporting resources and software are available from the task web site at: http://mrp.nlpl.eu.",
author = "Stephan Oepen and Omri Abend and Jan Haji{\v c} and Daniel Hershcovich and Marco Kuhlmann and Tim O'Gorman and Nianwen Xue and Jayeol Chun and Milan Straka and Zde{\v n}ka Ure{\v s}ov{\'a}",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computational Linguistics; 2019 Shared Task on Cross-Framework Meaning Representation Parsing, MRP 2019 at the 23rd Conference for Computational Language Learning, CoNLL 2019 ; Conference date: 03-11-2019",
year = "2020",
doi = "10.18653/v1/K19-2001",
language = "الإنجليزيّة",
series = "CoNLL 2019 - SIGNLL Conference on Computational Natural Language Learning, Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning",
pages = "1--27",
booktitle = "CoNLL 2019 - SIGNLL Conference on Computational Natural Language Learning, Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning",
}