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The Impact of Edge Displacement Vaserstein Distance on UD Parsing Performance

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AQEMDAR97" target="_blank" >RIV/00216208:11320/22:QEMDAR97 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1162/coli_a_00440" target="_blank" >https://doi.org/10.1162/coli_a_00440</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1162/coli_a_00440" target="_blank" >10.1162/coli_a_00440</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Impact of Edge Displacement Vaserstein Distance on UD Parsing Performance

  • Original language description

    We contribute to the discussion on parsing performance in NLP by introducing a measurement that evaluates the differences between the distributions of edge displacement (the directed distance of edges) seen in training and test data. We hypothesize that this measurement will be related to differences observed in parsing performance across treebanks. We motivate this by building upon previous work and then attempt to falsify this hypothesis by using a number of statistical methods. We establish that there is a statistical correlation between this measurement and parsing performance even when controlling for potential covariants. We then use this to establish a sampling technique that gives us an adversarial and complementary split. This gives an idea of the lower and upper bounds of parsing systems for a given treebank in lieu of freshly sampled data. In a broader sense, the methodology presented here can act as a reference for future correlation-based exploratory work in NLP.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • 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

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Computational Linguistics

  • ISSN

    0891-2017

  • e-ISSN

    1530-9312

  • Volume of the periodical

    48

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    38

  • Pages from-to

    517-554

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85138714217