UWB@ DIACR-ita: Lexical semantic change detection with CCA and orthogonal transformation
DIACR-Ita (2021)
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.
Authors
BibTex
@article{pravzak2020uwb, title={UWB@ DIACR-ita: Lexical semantic change detection with CCA and orthogonal transformation}, author={Pra{\v{z}}{\'a}k, Ond{\v{r}}ej and P{\v{r}}ib{\'a}{\v{n}}, Pavel and Taylor, Stephen}, journal={arXiv preprint arXiv:2011.14678}, year={2020} }
