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
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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
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
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e-ISSN
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Number of pages
16
Pages from-to
149-164
Publisher name
Association for Computational Linguistics
Place of publication
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Event location
Dublin, Ireland
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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