Dependency Graph Parsing as Sequence Labeling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A8ILE7YJW" target="_blank" >RIV/00216208:11320/25:8ILE7YJW - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85217736996&partnerID=40&md5=e1b5484cb473e233a3ea43a24e3af76c" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85217736996&partnerID=40&md5=e1b5484cb473e233a3ea43a24e3af76c</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Dependency Graph Parsing as Sequence Labeling
Original language description
Various linearizations have been proposed to cast syntactic dependency parsing as sequence labeling. However, these approaches do not support more complex graph-based representations, such as semantic dependencies or enhanced universal dependencies, as they cannot handle reentrancy or cycles. By extending them, we define a range of unbounded and bounded linearizations that can be used to cast graph parsing as a tagging task, enlarging the toolbox of problems that can be solved under this paradigm. Experimental results on semantic dependency and enhanced UD parsing show that with a good choice of encoding, sequence-labeling dependency graph parsers combine high efficiency with accuracies close to the state of the art, in spite of their simplicity. © 2024 Association for Computational Linguistics.
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
EMNLP - Conf. Empir. Methods Nat. Lang. Process., Proc. Conf.
ISBN
979-889176164-3
ISSN
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e-ISSN
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Number of pages
25
Pages from-to
11804-11828
Publisher name
Association for Computational Linguistics (ACL)
Place of publication
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Event location
Hybrid, Miami
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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