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Character-level Dependency Annotation of Chinese

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3ADCA7WZSG" target="_blank" >RIV/00216208:11320/23:DCA7WZSG - isvavai.cz</a>

  • Result on the web

    <a href="https://aclanthology.org/2023.depling-1.5/" target="_blank" >https://aclanthology.org/2023.depling-1.5/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Character-level Dependency Annotation of Chinese

  • Original language description

    "In this paper, we propose a new model for annotating dependency relations at the Mandarin character level with the aim of building treebanks to cope with the unsatisfactory performance of existing word segmentation and syntactic analysis models in specific scientific domains, such as Chinese patent texts. The result is a treebank of 100 sentences annotated according to our scheme, which also serves as a training corpus that facilitates the subsequent development of a joint word segmenter and dependency analyzer that enables downstream tasks in Chinese to be separated from the non-standardized pre-processing step of word segmentation."

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    "Proceedings of the Seventh International Conference on Dependency Linguistics (Depling, GURT/SyntaxFest 2023)"

  • ISBN

    978-1-959429-32-6

  • ISSN

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    42-53

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Washington, D.C.

  • Event location

    Washington, D.C.

  • Event date

    Jan 1, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article