Are UD Treebanks Getting More Consistent? A Report Card for English UD

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AT6DFCG86" target="_blank" >RIV/00216208:11320/23:T6DFCG86 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148741219&partnerID=40&md5=14ad11de9940c2be061991a78c84cef6" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148741219&partnerID=40&md5=14ad11de9940c2be061991a78c84cef6</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Are UD Treebanks Getting More Consistent? A Report Card for English UD

Popis výsledku v původním jazyce

"Recent efforts to consolidate guidelines and treebanks in the Universal Dependencies project raise the expectation that joint training and dataset comparison is increasingly possible for high-resource languages such as English, which have multiple corpora. Focusing on the two largest UD English treebanks, we examine progress in data consolidation and answer several questions: Are UD English treebanks becoming more internally consistent? Are they becoming more like each other and to what extent? Is joint training a good idea, and if so, since which UD version? Our results indicate that while consolidation has made progress, joint models may still suffer from inconsistencies, which hamper their ability to leverage a larger pool of training data. © 2023 Association for Computational Linguistics"

Název v anglickém jazyce

Are UD Treebanks Getting More Consistent? A Report Card for English UD

Popis výsledku anglicky

"Recent efforts to consolidate guidelines and treebanks in the Universal Dependencies project raise the expectation that joint training and dataset comparison is increasingly possible for high-resource languages such as English, which have multiple corpora. Focusing on the two largest UD English treebanks, we examine progress in data consolidation and answer several questions: Are UD English treebanks becoming more internally consistent? Are they becoming more like each other and to what extent? Is joint training a good idea, and if so, since which UD version? Our results indicate that while consolidation has made progress, joint models may still suffer from inconsistencies, which hamper their ability to leverage a larger pool of training data. © 2023 Association for Computational Linguistics"

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

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Návaznosti

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Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

"UDW - Workshop Univers. Depend. (UDW, GURT/SyntaxFest 2023), Proc. Conf."

ISBN

978-195942934-0

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

58-64

Název nakladatele

Association for Computational Linguistics

Místo vydání

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Místo konání akce

Dubrovnik

Datum konání akce

1. 1. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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