Alexander Chernyavskiy

Doctoral Student:Faculty of Computer Science / School of Data Analysis and Artificial Intelligence
Research Assistant:Faculty of Computer Science / International Laboratory for Intelligent Systems and Structural Analysis

Alexander Chernyavskiy has been at HSE University since 2016.

Education

2019

Bachelor's in Applied Mathematics and Information Science
HSE University

Professional Interests

deep learning natural language processing

Postgraduate Studies

3rd year of study
Approved topic of thesis: Application of Deep Learning Models Using Structural Linguistic Information in Applied NLP Tasks
Academic Supervisor: Ilvovsky, Dmitry

Publications⁸

Chapter Chernyavskiy A., Ostyakova L., Ilvovsky D. GroundHog: Dialogue Generation using Multi-Grained Linguistic Input, in: Proceedings of the 5th Workshop on Computational Approaches to Discourse (CODI 2024). Association for Computational Linguistics, 2024. P. 149-160.
Chapter Chernyavskiy A., Ilvovsky D., Nakov P. Unleashing the Power of Discourse-Enhanced Transformers for Propaganda Detection, in: Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: (Volume 1: Long Papers). Association for Computational Linguistics, 2024. P. 1452-1462.
Chapter Chernyavskiy A., Bregeda M., Nikiforova M. PaperPersiChat: Scientific Paper Discussion Chatbot using Transformers and Discourse Flow Management, in: Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue. Association for Computational Linguistics, 2023. P. 584-587.
Chapter Alexander Chernyavskiy, Ilvovsky D. Transformer-based Multi-Party Conversation Generation using Dialogue Discourse Acts Planning, in: Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue. Association for Computational Linguistics, 2023. P. 519-529.
Chapter Alexander Chernyavskiy. Improving Text Generation via Neural Discourse Planning, in: WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery (ACM), 2022. doi P. 1543-1544. doi
Chapter Chernyavskiy A., Ilvovsky D., Galitsky B. Correcting Texts Generated by Transformers using Discourse Features and Web Mining, in: Proceedings of the Student Research Workshop Associated with RANLP 2021. INCOMA Ltd, 2021. P. 36-43. doi
Chapter Chernyavskiy A., Ilvovsky D. DSNDM: Deep Siamese Neural Discourse Model with Attention for Text Pairs Categorization and Ranking, in: Proceedings of the First Workshop on Computational Approaches to Discourse. Association for Computational Linguistics, 2020. P. 76-85. doi
Chapter Chernyavskiy A., Ilvovsky D. Recursive Neural Text Classification Using Discourse Tree Structure for Argumentation Mining and Sentiment Analysis Tasks, in: Foundations of Intelligent Systems. 25th International Symposium on Methodologies for Intelligent Systems: ISMIS 2020 Vol. 12117. Springer, 2020. doi P. 90-101. doi