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LSCDiscovery: A shared task on semantic change discovery and detection in Spanish

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AW8BJSJYR" target="_blank" >RIV/00216208:11320/22:W8BJSJYR - isvavai.cz</a>

  • Result on the web

    <a href="https://aclanthology.org/2022.lchange-1.16" target="_blank" >https://aclanthology.org/2022.lchange-1.16</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.18653/v1/2022.lchange-1.16" target="_blank" >10.18653/v1/2022.lchange-1.16</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    LSCDiscovery: A shared task on semantic change discovery and detection in Spanish

  • Original language description

    We present the first shared task on semantic change discovery and detection in Spanish. We create the first dataset of Spanish words manually annotated by semantic change using the DURel framewok (Schlechtweg et al., 2018). The task is divided in two phases: 1) graded change discovery, and 2) binary change detection. In addition to introducing a new language for this task, the main novelty with respect to the previous tasks consists in predicting and evaluating changes for all vocabulary words in the corpus. Six teams participated in phase 1 and seven teams in phase 2 of the shared task, and the best system obtained a Spearman rank correlation of 0.735 for phase 1 and an F1 score of 0.735 for phase 2. We describe the systems developed by the competing teams, highlighting the techniques that were particularly useful.

  • 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

    2022

  • 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 3rd Workshop on Computational Approaches to Historical Language Change

  • ISBN

    978-1-955917-42-1

  • ISSN

  • e-ISSN

  • Number of pages

    16

  • Pages from-to

    149-164

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

  • Event location

    Dublin, Ireland

  • Event date

    Jan 1, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article