mlsanityData to 14 Oct 2026

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

arXiv 2205.06691 ↗First posted 13 May 2022cs.CLcited by 11

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Abstract (arXiv)

We present the first shared task on semantic change discovery and detection in Spanish and create the first dataset of Spanish words manually annotated for semantic change using the DURel framework (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 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 0.716 for phase 2. We describe the systems developed by the competing teams, highlighting the techniques that were particularly useful and discuss the limits of these approaches.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 25 of its 52 references that are in the map. First posted on arXiv 13 May 2022.

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25 of 52 references.

References · 25

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13 more
  1. 2021DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languagescited by 26
  2. 2020RuSemShift: a dataset of historical lexical semantic change in Russiancited by 16
  3. 2021Challenges for Computational Lexical Semantic Changecited by 16
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  6. 2021Grammatical Profiling for Semantic Change Detectioncited by 10
  7. 2020CIRCE at SemEval-2020 Task 1: Ensembling Context-Free and Context-Dependent Word Representationscited by 9
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  11. 2020IMS at SemEval-2020 Task 1: How low can you go? Dimensionality in Lexical Semantic Change Detectioncited by 5
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  13. 2020Shared task: Lexical semantic change detection in German (Student Project Report)cited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 5; 2024: 3; 2025: 1; 2026: 1.

11 papers.