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.
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