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CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10405589" target="_blank" >RIV/00216208:11320/19:10405589 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.aclweb.org/anthology/W19-4419/" target="_blank" >https://www.aclweb.org/anthology/W19-4419/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction

  • Original language description

    In this paper, we describe our systems submitted to the Building Educational Applications (BEA) 2019 Shared Task (Bryant et al., 2019). We participated in all three tracks. Our models are NMT systems based on the Transformer model, which we improve by incorporating several enhancements: applying dropout to whole source and target words, weighting target subwords, averaging model checkpoints, and using the trained model iteratively for correcting the intermediate translations. The system in the Restricted Track is trained on the provided corpora with oversampled &quot;cleaner&quot; sentences and reaches 59.39 F0.5 score on the test set. The system in the Low-Resource Track is trained from Wikipedia revision histories and reaches 44.13 F0.5 score. Finally, we finetune the system from the Low-Resource Track on restricted data and achieve 64.55 F0.5 score, placing third in the Unrestricted Track.

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • 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 Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications

  • ISBN

    978-1-950737-34-5

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    183-190

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Stroudsburg, PA, USA

  • Event location

    Firenze, Italy

  • Event date

    Aug 2, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article