Unsupervised Mapping of Arguments of Deverbal Nouns to Their Corresponding Verbal Labels

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AJU7Q62PT" target="_blank" >RIV/00216208:11320/23:JU7Q62PT - isvavai.cz</a>

Result on the web

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175440581&partnerID=40&md5=1ed25006e345ff3a04fd36cf1cb97f1f" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175440581&partnerID=40&md5=1ed25006e345ff3a04fd36cf1cb97f1f</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Unsupervised Mapping of Arguments of Deverbal Nouns to Their Corresponding Verbal Labels

Original language description

"Deverbal nouns are nominal forms of verbs commonly used in written English texts to describe events or actions, as well as their arguments. However, many NLP systems, and in particular pattern-based ones, neglect to handle such nominalized constructions. The solutions that do exist for handling arguments of nominalized constructions are based on semantic annotation and require semantic ontologies, making their applications restricted to a small set of nouns. We propose to adopt instead a more syntactic approach, which maps the arguments of deverbal nouns to the universal-dependency relations of the corresponding verbal construction. We present an unsupervised mechanism-based on contextualized word representations-which allows to enrich universal-dependency trees with dependency arcs denoting arguments of deverbal nouns, using the same labels as the corresponding verbal cases. By sharing the same label set as in the verbal case, patterns that were developed for verbs can be applied without modification but with high accuracy also to the nominal constructions. © 2023 Association for Computational Linguistics."

Czech name

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Czech description

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Type

D - Article in proceedings

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

Article name in the collection

"Proc. Annu. Meet. Assoc. Comput Linguist."

ISBN

978-195942962-3

ISSN

0736-587X

e-ISSN

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Number of pages

15

Pages from-to

2921-2935

Publisher name

Association for Computational Linguistics (ACL)

Place of publication

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Event location

Cham

Event date

Jan 1, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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