CoToHiLi at LSCDiscovery: the Role of Linguistic Features in Predicting Semantic Change

Ana Sabina Uban, Alina Maria Cristea, Anca Daniela Dinu, Liviu P Dinu, Simona Georgescu, Laurentiu Zoicas


Abstract
This paper presents the contributions of the CoToHiLi team for the LSCDiscovery shared task on semantic change in the Spanish language. We participated in both tasks (graded discovery and binary change, including sense gain and sense loss) and proposed models based on word embedding distances combined with hand-crafted linguistic features, including polysemy, number of neological synonyms, and relation to cognates in English. We find that models that include linguistically informed features combined using weights assigned manually by experts lead to promising results.
Anthology ID:
2022.lchange-1.20
Volume:
Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change
Month:
May
Year:
2022
Address:
Dublin, Ireland
Editors:
Nina Tahmasebi, Syrielle Montariol, Andrey Kutuzov, Simon Hengchen, Haim Dubossarsky, Lars Borin
Venue:
LChange
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
187–192
Language:
URL:
https://aclanthology.org/2022.lchange-1.20
DOI:
10.18653/v1/2022.lchange-1.20
Bibkey:
Cite (ACL):
Ana Sabina Uban, Alina Maria Cristea, Anca Daniela Dinu, Liviu P Dinu, Simona Georgescu, and Laurentiu Zoicas. 2022. CoToHiLi at LSCDiscovery: the Role of Linguistic Features in Predicting Semantic Change. In Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change, pages 187–192, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
CoToHiLi at LSCDiscovery: the Role of Linguistic Features in Predicting Semantic Change (Sabina Uban et al., LChange 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.lchange-1.20.pdf