Applying Linguistic Principles to PropBank Annotation Projection Between Languages
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3ATWVCJBSG" target="_blank" >RIV/00216208:11320/26:TWVCJBSG - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1353/dic.2025.a963329" target="_blank" >http://dx.doi.org/10.1353/dic.2025.a963329</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1353/dic.2025.a963329" target="_blank" >10.1353/dic.2025.a963329</a>
Alternative languages
Result language
angličtina
Original language name
Applying Linguistic Principles to PropBank Annotation Projection Between Languages
Original language description
Although semantic role labeling based on a pre-existing valency lexicon is useful in many downstream natural language processing (NLP) tasks, computational versions of these types of lexicons are not available in most languages. For parallel sentences where the source language already has automatic or manual lexical (SRL) annotation, the annotations can be transferred onto the target language text. The Universal PropBanks (UP2.0) system uses unsupervised word alignments, filtering heuristics, and bootstrapping to automatically project English SRL annotations to twenty-three languages. Since this approach uses English-based semantic representations to create annotations in other languages, it may miss language-specific nuances. We provide a case study using English PropBank representations and the Russian PropBank. We evaluate the UP2.0 projection of English annotations onto sentences that have been annotated manually with Russian PropBank, assessing discrepancies. Based on our error analysis and PropBank annotation guidelines, we identify language-specific and language-independent principles that may be violated by the automatic projection and implement these as post-processing filters to improve the precision of the automatic annotation projection. © 2025 Dictionary Society of North America. All rights reserved.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - 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)
Result continuities
Project
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Continuities
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Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Dictionaries
ISSN
0197-6745
e-ISSN
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Volume of the periodical
46
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
16
Pages from-to
165-180
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-105010070124