LSCDiscovery: A shared task on semantic change discovery and detection in Spanish
Not on the map. Why?
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.
Builds on
25 of 52 references.
References · 25
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
- 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,375
- 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
- 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
- 2020SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detectioncited by 108
- 2018Diachronic word embeddings and semantic shifts: a surveycited by 92
- 2016Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Changecited by 63
- 2018Survey of Computational Approaches to Lexical Semantic Changecited by 62
- 2018Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Changecited by 35
- 2021Explaining and Improving BERT Performance on Lexical Semantic Change Detectioncited by 34
- 2020UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change Detectioncited by 32
- 2019A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domainscited by 31
13 more
- 2021DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languagescited by 26
- 2020RuSemShift: a dataset of historical lexical semantic change in Russiancited by 16
- 2021Challenges for Computational Lexical Semantic Changecited by 16
- 2017Dialectometric analysis of language variation in Twittercited by 14
- 2021Lexical Semantic Change Discoverycited by 13
- 2021Grammatical Profiling for Semantic Change Detectioncited by 10
- 2020CIRCE at SemEval-2020 Task 1: Ensembling Context-Free and Context-Dependent Word Representationscited by 9
- 2018Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluationcited by 8
- 2020UWB at SemEval-2020 Task 1: Lexical Semantic Change Detectioncited by 7
- 2020Simulating Lexical Semantic Change from Sense-Annotated Datacited by 6
- 2020IMS at SemEval-2020 Task 1: How low can you go? Dimensionality in Lexical Semantic Change Detectioncited by 5
- 2020OP-IMS @ DIACR-Ita: Back to the Roots: SGNS+OP+CD still rocks Semantic Change Detectioncited by 5
- 2020Shared task: Lexical semantic change detection in German (Student Project Report)cited by 2
Built on by
Citing papers per year: 2022: 1; 2023: 5; 2024: 3; 2025: 1; 2026: 1.
11 papers.
- 2023A Survey on Contextualised Semantic Shift Detectioncited by 22
- 2023Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligencecited by 15
- 2023Substitution-based Semantic Change Detection using Contextual Embeddingscited by 9
- 2024The LSCD Benchmark: a Testbed for Diachronic Word Meaning Taskscited by 3
- 2024Presence or Absence: Are Unknown Word Usages in Dictionaries?cited by 3
- 2022BOS at LSCDiscovery: Lexical Substitution for Interpretable Lexical Semantic Change Detectioncited by 2
- 2023Computational modeling of semantic changecited by 2
- 2024Tracking Semantic Change in Slovene: A Novel Dataset and Optimal Transport-Based Distancecited by 1
- 2026Evaluating the Evaluator: Problems with SemEval-2020 Task 1 for Lexical Semantic Change Detectioncited by 1
- 2023A Tale of Two Laws of Semantic Change: Predicting Synonym Changes with Distributional Semantic Modelscited by 0
- 2025CALE : Concept-Aligned Embeddings for Both Within-Lemma and Inter-Lemma Sense Differentiationcited by 0
- 2026Evaluating the Evaluator: Problems with SemEval-2020 Task 1 for Lexical Semantic Change Detection14 Apr 2026
- 2025CALE : Concept-Aligned Embeddings for Both Within-Lemma and Inter-Lemma Sense Differentiation6 Aug 2025
- 2024Presence or Absence: Are Unknown Word Usages in Dictionaries?2 Jun 2024
- 2024The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks29 Mar 2024
- 2024Tracking Semantic Change in Slovene: A Novel Dataset and Optimal Transport-Based Distance26 Feb 2024
- 2023Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence24 Sep 2023
- 2023Substitution-based Semantic Change Detection using Contextual Embeddings5 Sep 2023
- 2023A Tale of Two Laws of Semantic Change: Predicting Synonym Changes with Distributional Semantic Models30 May 2023
- 2023Computational modeling of semantic change13 Apr 2023
- 2023A Survey on Contextualised Semantic Shift Detection4 Apr 2023
- 2022BOS at LSCDiscovery: Lexical Substitution for Interpretable Lexical Semantic Change Detection7 Jun 2022