MRP 2019: Cross-Framework Meaning Representation Parsing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10405591" target="_blank" >RIV/00216208:11320/19:10405591 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.aclweb.org/anthology/K19-2001" target="_blank" >http://www.aclweb.org/anthology/K19-2001</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.18653/v1/K19-2001" target="_blank" >10.18653/v1/K19-2001</a>

Jazyk výsledku

angličtina

Název v původním jazyce

MRP 2019: Cross-Framework Meaning Representation Parsing

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

MRP 2019: Cross-Framework Meaning Representation Parsing

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the CoNLL 2019 Shared Task: Cross-Framework Meaning Representation Parsing

ISBN

978-1-950737-60-4

ISSN

—

e-ISSN

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Počet stran výsledku

27

Strana od-do

1-27

Název nakladatele

Association for Computational Linguistics

Místo vydání

Stroudsburg, PA, USA

Místo konání akce

Hong Kong, China

Datum konání akce

3. 11. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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