Expanding Russian PropBank: Challenges and Insights for Developing New SRL Resources

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A2AN7Z43D" target="_blank" >RIV/00216208:11320/25:2AN7Z43D - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195108827&partnerID=40&md5=62e8ce81d50f9ad52b6e1d0e203ef5b0" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195108827&partnerID=40&md5=62e8ce81d50f9ad52b6e1d0e203ef5b0</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Expanding Russian PropBank: Challenges and Insights for Developing New SRL Resources

Popis výsledku v původním jazyce

Semantic role labeling (SRL) resources, such as Proposition Bank (PropBank), provide useful input to downstream applications. In this paper we present some challenges and insights we learned while expanding the previously developed Russian PropBank. This new effort involved annotation and adjudication of all predicates within a subset of the prior work in order to provide a test corpus for future applications. We discuss a number of new issues that arose while developing our PropBank for Russian as well as our solutions. Framing issues include: distinguishing between morphological processes that warrant new frames, differentiating between modal verbs and predicate verbs, and maintaining accurate representations of a given language’s semantics. Annotation issues include disagreements derived from variability in Universal Dependency parses and semantic ambiguity within the text. Finally, we demonstrate how Russian sentence structures reveal inherent limitations to PropBank’s ability to capture semantic data. These discussions should prove useful to anyone developing a PropBank or similar SRL resources for a new language. © 2024 ELRA Language Resource Association.

Název v anglickém jazyce

Expanding Russian PropBank: Challenges and Insights for Developing New SRL Resources

Popis výsledku anglicky

Semantic role labeling (SRL) resources, such as Proposition Bank (PropBank), provide useful input to downstream applications. In this paper we present some challenges and insights we learned while expanding the previously developed Russian PropBank. This new effort involved annotation and adjudication of all predicates within a subset of the prior work in order to provide a test corpus for future applications. We discuss a number of new issues that arose while developing our PropBank for Russian as well as our solutions. Framing issues include: distinguishing between morphological processes that warrant new frames, differentiating between modal verbs and predicate verbs, and maintaining accurate representations of a given language’s semantics. Annotation issues include disagreements derived from variability in Universal Dependency parses and semantic ambiguity within the text. Finally, we demonstrate how Russian sentence structures reveal inherent limitations to PropBank’s ability to capture semantic data. These discussions should prove useful to anyone developing a PropBank or similar SRL resources for a new language. © 2024 ELRA Language Resource Association.

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

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

Int. Workshop Des. Mean. Represent., DMR LREC-COLING - Workshop Proc.

ISBN

978-249381439-5

ISSN

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e-ISSN

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Počet stran výsledku

9

Strana od-do

30-38

Název nakladatele

European Language Resources Association (ELRA)

Místo vydání

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Místo konání akce

Torino, Italia

Datum konání akce

1. 1. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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