MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing

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Abstract

The 2020 Shared Task at the Conference for Computational Language Learning (CoNLL) was devoted to Meaning Representation Parsing (MRP) across frameworks and languages. Extending a similar setup from the previous year, five distinct approaches to the representation of sentence meaning in the form of directed graphs were represented in the English training and evaluation data for the task, packaged in a uniform graph abstraction and serialization; for four of these representation frameworks, additional training and evaluation data was provided for one additional language per framework. The task received submissions from eight teams, of which two do not participate in the official ranking because they arrived after the closing deadline or made use of additional training data. 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
Original languageEnglish
Title of host publicationProceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing
EditorsStephan Oepen, Omri Abend, Lasha Abzianidze, Johan Bos, Jan Hajič, Daniel Hershcovich, Bin Li, Tim O'Gorman, Nianwen Xue, Daniel Zeman
PublisherAssociation for Computational Linguistics
Pages1-22
Number of pages22
DOIs
Publication statusPublished - Nov 2020

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