Detection of Semantic Changes in Russian Nouns with Distributional Models and Grammatical Features
Anastasiia Ryzhova, Рыжова Дарья Александровна, Илья Владимирович Соченков · Computational Linguistics and Intellectual Technologies · 2021
The paper presents the models detecting the degree of semantic change in Russian nouns developed by the team aryzhova within the RuShiftEval competition of the Dialogue 2021 conference.We base our algorithms mostly on unsupervised distributional models and additionally test a model that uses vectors representing morphological preferences of the words in question.The best results are obtained by the model built on the ELMo architecture with a small window, while the quality of performance of the "grammatical" model is comparable to that of the models based on much more sophisticated algorithms.