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RusNLP: Semantic Search Engine for Russian NLP Conference Papers.

, , and . AIST, volume 11179 of Lecture Notes in Computer Science, page 111-120. Springer, (2018)

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Russian Learner Translator Corpus - Design, Research Potential and Applications., and . TSD, volume 8655 of Lecture Notes in Computer Science, page 315-323. Springer, (2014)Contextualized language models for semantic change detection: lessons learned., , and . CoRR, (2022)RuSemShift: a dataset of historical lexical semantic change in Russian., and . COLING, page 1037-1047. International Committee on Computational Linguistics, (2020)Grammatical Profiling for Semantic Change Detection., , and . CoNLL, page 423-434. Association for Computational Linguistics, (2021)Exploration of register-dependent lexical semantics using word embeddings., , and . LT4DH@COLING, page 26-34. The COLING 2016 Organizing Committee, (2016)Cross-Lingual Trends Detection for Named Entities in News Texts with Dynamic Neural Embedding Models., and . NewsIR@ECIR, volume 1568 of CEUR Workshop Proceedings, page 27-32. CEUR-WS.org, (2016)Learning Graph Embeddings from WordNet-based Similarity Measures., , , , and . *SEM@NAACL-HLT, page 125-135. Association for Computational Linguistics, (2019)Measuring Diachronic Evolution of Evaluative Adjectives with Word Embeddings: the Case for English, Norwegian, and Russian., , , , , and . LChange@ACL, page 202-209. Association for Computational Linguistics, (2019)Change of word types to word tokens ratio in the course of translation (based on Russian translations of K. Vonnegut novels). CoRR, (2010)Neural Embedding Language Models in Semantic Clustering of Web Search Results., and . LREC, European Language Resources Association (ELRA), (2016)