Diachronic word embeddings for semantic shifts modeling: how to trace changes of meaning in time
Biography Andrey Kutuzov
is currently a doctoral research fellow at the University of Oslo, Norway. He holds a Masters degree in Computational Linguistics from the National Research University Higher School of Economics (Moscow, Russia). His industrial experience includes working with Lionbridge and Mail.ru Search.
Andrey has published papers at the top-tier international conference like EMNLP, ACL, CONLL, EACL and COLING. His primary research interest is using distributional word embedding models to trace long-term and short-term semantic shifts (see the survey paper
Andrey is the leading maintainer of the RusVectōrēs project
featuring various word embedding models for Russian and their visualizations. He teaches courses in NLP and deep learning at Masters level.