MRP 2019: Cross-Framework Meaning Representation Parsing
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MRP 2019 : Cross-Framework Meaning Representation Parsing. / Oepen, Stephan; Abend, Omri; Hajic, Jan; Hershcovich, Daniel; Kuhlmann, Marco; O’gorman, Tim; Xue, Nianwen; Chun, Jayeol; Straka, Milan; Uresova, Zdenka.
Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning. Association for Computational Linguistics, 2020. p. 1-27.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - MRP 2019
T2 - 2019 Conference on Natural Language Learning, CoNLL
AU - Oepen, Stephan
AU - Abend, Omri
AU - Hajic, Jan
AU - Hershcovich, Daniel
AU - Kuhlmann, Marco
AU - O’gorman, Tim
AU - Xue, Nianwen
AU - Chun, Jayeol
AU - Straka, Milan
AU - Uresova, Zdenka
PY - 2020
Y1 - 2020
N2 - 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 graph were represented in the training and evaluation data for the task, packaged in a uniform abstract graph representation 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 additional 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
AB - 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 graph were represented in the training and evaluation data for the task, packaged in a uniform abstract graph representation 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 additional 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
U2 - 10.18653/v1/K19-2001
DO - 10.18653/v1/K19-2001
M3 - Article in proceedings
SP - 1
EP - 27
BT - Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning
PB - Association for Computational Linguistics
Y2 - 1 November 2019 through 1 November 2019
ER -
ID: 239016442