A Novel Approach for Root Selection in the Dependency Parsing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A47YD5RBN" target="_blank" >RIV/00216208:11320/25:47YD5RBN - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195383928&partnerID=40&md5=1ea8705547b735a48e5c68f72605291f" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195383928&partnerID=40&md5=1ea8705547b735a48e5c68f72605291f</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Novel Approach for Root Selection in the Dependency Parsing
Original language description
Although syntactic analysis using the sequence labeling method is promising, it can be problematic when the labels sequence does not contain a root label. This can result in errors in the final parse tree when the postprocessing method assumes the first word as the root. In this paper, we present a novel postprocessing method for BERT-based dependency parsing as sequence labeling. Our method leverages the root's part of speech tag to select a more suitable root for the dependency tree, instead of using the default first token. We conducted experiments on nine dependency treebanks from different languages and domains, and demonstrated that our technique consistently improves the labeled attachment score (LAS) on most of them. © 2024 ELRA Language Resource Association.
Czech name
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Czech description
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Classification
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)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Workshop Open-Source Arab. Corpora Process. Tools, OSACT Shar. Tasks Arab. LLMs Hallucination Dialect MSA Mach. Transl. LREC-COLING - Workshop Proc.
ISBN
978-249381436-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
46-49
Publisher name
European Language Resources Association (ELRA)
Place of publication
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Event location
Torino, Italia
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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