black[LSCDiscovery shared task] CoToHiLi at LSCDiscovery: the Role of Linguistic Features in Predicting Semantic Change

Ana Sabina Uban, Alina Maria Cristea, Anca Dinu, Liviu P. Dinu, Simona Georgescu, Laurentiu Zoicas
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引用次数: 2

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.
[j] CoToHiLi在LSCDiscovery:语言特征在预测语义变化中的作用
本文介绍了CoToHiLi团队对西班牙语语义变化的LSCDiscovery共享任务的贡献。我们参与了这两个任务(分级发现和二元变化,包括意义增益和意义损失),并提出了基于词嵌入距离的模型,结合手工制作的语言特征,包括多义性、新词同义词的数量以及英语中与同源词的关系。我们发现,包含语言信息特征的模型结合了专家手动分配的权重,结果很有希望。
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