Cross-Lingual Universal Dependency Parsing Only From One Monolingual Treebank

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AA4HWA464" target="_blank" >RIV/00216208:11320/23:A4HWA464 - isvavai.cz</a>

Result on the web

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164376341&doi=10.1109%2fTPAMI.2023.3291388&partnerID=40&md5=a1c963e57fa015f3459b548af078abc5" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164376341&doi=10.1109%2fTPAMI.2023.3291388&partnerID=40&md5=a1c963e57fa015f3459b548af078abc5</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/tpami.2023.3291388" target="_blank" >10.1109/tpami.2023.3291388</a>

Result language

angličtina

Original language name

Cross-Lingual Universal Dependency Parsing Only From One Monolingual Treebank

Original language description

"Syntactic parsing is a highly linguistic processing task whose parser requires training on treebanks from the expensive human annotation. As it is unlikely to obtain a treebank for every human language, in this work, we propose an effective cross-lingual UD parsing framework for transferring parser from only one source monolingual treebank to any other target languages without treebank available. To reach satisfactory parsing accuracy among quite different languages, we introduce two language modeling tasks into the training process of dependency parsing as multi-tasking. Assuming only unlabeled data from target languages plus the source treebank can be exploited together, we adopt a self-training strategy for further performance improvement in terms of our multi-task framework. Our proposed cross-lingual parsers are implemented for English, Chinese, and 29 UD treebanks. The empirical study shows that our cross-lingual parsers yield promising results for all target languages, approaching the parser performance which is trained in its own target treebank. © 1979-2012 IEEE."

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

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

Project

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Continuities

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Publication year

2023

Confidentiality

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

Name of the periodical

"IEEE Transactions on Pattern Analysis and Machine Intelligence"

ISSN

0162-8828

e-ISSN

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Volume of the periodical

45

Issue of the periodical within the volume

11

Country of publishing house

US - UNITED STATES

Number of pages

15

Pages from-to

13393-13407

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85164376341