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

Paper · 2020 · Stephan Oepen, Omri Abend, Lasha Abzianidze et al.

Summary

MRP 2020 was the second CoNLL shared task on parsing sentences into graph-based meaning representations. It aimed to reduce the fragmentation of the field, where each semantic framework tends to have its own parsers, formats and metrics. The organizers provided English training and test data for five frameworks: EDS, PTG, UCCA, AMR and the newly added DRG, a graph encoding of Discourse Representation Structures. All five use one shared graph abstraction, serialization format and scoring procedure. A separate cross-lingual track added one more language for four frameworks, covering Czech, German and Chinese. The overview also sets out common terminology for semantic graphs and classifies them into three "flavors" by how closely nodes are anchored to the input string. Eight teams submitted systems, and six were officially ranked. Participation fell sharply compared with 2019, but the organizers argue the results are a strong state-of-the-art benchmark, with English AMR as a possible exception. Shared data, companion syntactic trees and evaluation tools make the task a reusable resource for comparing linguistic design choices across frameworks.

Key points

  • Five frameworks were included: EDS, PTG, UCCA, AMR and DRG. DRG is new in 2020, and PTG was expanded to keep more of the original annotation. The bi-lexical DM and PSD graphs from 2019 were dropped to make entry easier.
  • The graph-flavor hierarchy distinguishes three levels of anchoring. Flavor (0) covers bi-lexical, fully token-anchored graphs. Flavor (1) allows flexible or partial anchoring. Flavor (2) covers wholly unanchored graphs such as AMR.
  • Of eight submitting teams, two were left out of the official ranking for late submission or use of extra training data. Only four of the sixteen MRP 2019 teams took part again.
  • Supporting resources included companion morpho-syntactic trees in Universal Dependencies 2.x, built with an enhanced UDPipe for Czech, English and German. They also included converted Chinese AMR data and roughly 1,000 newly annotated WSJ sentences for EDS evaluation. LDC distributed the training data at no cost.
  • Parallel annotations over WSJ (Penn Treebank) and LPPS texts allow side-by-side comparison of frameworks. All data, submissions and results are available at mrp.nlpl.eu.

Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.

 Institutions

🎓University of Massachusetts AmherstAmherst Center · United States67 works · 64,591 citations🎓Charles UniversityPrague · Czechia108 works · 20,329 citations🎓University of CopenhagenCopenhagen · Denmark78 works · 14,228 citations🎓Hebrew University of JerusalemJerusalem · Israel50 works · 9,147 citations🎓University of GroningenGroningen · Netherlands49 works · 4,843 citations🎓Brandeis UniversityWaltham · United States30 works · 5,497 citations🎓University of OsloOslo · Norway29 works · 3,700 citations🎓Utrecht UniversityUtrecht · Netherlands21 works · 1,281 citations🎓Nanjing Normal UniversityNanjing · China2 works · 180 citations

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Computer Science · 9,086 worksArtificial Intelligence · 8,889 worksArts and Humanities · 9,296 worksLanguage and Linguistics · 9,206 works

🧭 Topics 2Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 467 worksSemantic parsing & meaning representation · 135 works

Cite

Cite as Stephan Oepen, Omri Abend, Lasha Abzianidze, Johan Bos, Jan Hajic, Daniel Hershcovich, Bin Li, Tim O'Gorman, Nianwen Xue and Daniel Zeman. 2020. MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing. Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing.

The paper itself, not this page. BibTeX from the library's record of the work. DOI 10.18653/v1/2020.conll-shared.1

@inproceedings{oepen2020mrp,
  title = {{MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing}},
  author = {Stephan Oepen, Omri Abend, Lasha Abzianidze, Johan Bos, Jan Hajic, Daniel Hershcovich, Bin Li, Tim O'Gorman, Nianwen Xue and Daniel Zeman},
  booktitle = {Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing},
  year = {2020},
  doi = {10.18653/v1/2020.conll-shared.1},
  url = {https://doi.org/10.18653/v1/2020.conll-shared.1}
}

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