MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing
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MRP 2020 : The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing. / Oepen, Stephan; Abend, Omri; Abzianidze, Lasha; Bos, Johan; Hajic, Jan; Hershcovich, Daniel; Li, Bin; O’gorman, Tim; Xue, Nianwen; Zeman, Daniel.
Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing. Association for Computational Linguistics, 2020. s. 1-22.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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TY - GEN
T1 - MRP 2020
T2 - CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing,
AU - Oepen, Stephan
AU - Abend, Omri
AU - Abzianidze, Lasha
AU - Bos, Johan
AU - Hajic, Jan
AU - Hershcovich, Daniel
AU - Li, Bin
AU - O’gorman, Tim
AU - Xue, Nianwen
AU - Zeman, Daniel
PY - 2020
Y1 - 2020
N2 - 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
AB - 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
U2 - 10.18653/v1/2020.conll-shared.1
DO - 10.18653/v1/2020.conll-shared.1
M3 - Article in proceedings
SP - 1
EP - 22
BT - Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing
PB - Association for Computational Linguistics
Y2 - 19 November 2020 through 20 November 2020
ER -
ID: 254670842