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UWB @ DIACR-Ita: Lexical Semantic Change Detection with CCA and Orthogonal Transformation

2020-11-30 10:41:50
Ondřej Pražák, Pavel Přibáň, Stephen Taylor
arXiv_CL
     
Abstract

In this paper, we describe our method for detection of lexical semantic change (i.e., word sense changes over time) for the DIACR-Ita shared task, where we ranked $1^{st}$. We examine semantic differences between specific words in two Italian corpora, chosen from different time periods. Our method is fully unsupervised and language independent. It consists of preparing a semantic vector space for each corpus, earlier and later. Then we compute a linear transformation between earlier and later spaces, using CCA and Orthogonal Transformation. Finally, we measure the cosines between the transformed vectors.

Abstract (translated)

URL

https://arxiv.org/abs/2011.14678

PDF

https://arxiv.org/pdf/2011.14678.pdf

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