Dmitry Ilvovsky

Publications⁶⁰

• Chapter Galitsky B., Ilvovsky D., Goncharova E. Multimodal Discourse Trees in Forensic Linguistics, in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог». Вып. 22. / Под общ. ред.: В. Селегей. Вып. 22. [б.и.], 2023. doi
• Article Galitsky B., Ilvovsky D., Goldberg S. Shaped-Charge Learning Architecture for the Human–Machine Teams // Entropy. 2023. Vol. 25. No. 6. Article 924. doi
• 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 Chernyavskiy A., Ilvovsky D., Kalinin P., Nakov P. Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks, in: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2022). Association for Computational Linguistics, 2022. P. 116-126. doi
• Chapter Hardalov M., Chernyavskiy A., Koychev I., Ilvovsky D., Nakov P. CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media, in: Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics, 2022. P. 266-285.
• Chapter Galitsky B., Ilvovsky D., Goncharova E. Organizing Contexts as a Lattice of Decision Trees for Machine Reading Comprehension, in: Proceedings of the 10th International Workshop "What can FCA do for Artificial Intelligence?" / Ed. by S. Kuznetsov, A. Napoli, S. Rudolph. Vol. 3233. CEUR Workshop Proceedings, 2022. P. 75-87.
• Chapter Kirillovich A., Loukachevitch N. V., Kulaev M., Bolshina A., Ilvovsky D. Sense-Annotated Corpus for Russian, in: Proceedings of the Fifth International Conference Computational Linguistics in Bulgaria (CLIB 2022). Sofia : Bulgarian Academy of Sciences, 2022. P. 130-136.
• Chapter Морковкин А. Г., Ильвовский Д. А. Обзор методов оценки сложности текстов в сфере регулирования банковской деятельности // В кн.: ИТиС 2022: Сборник трудов 46-й междисциплинарной школы-конференции ИППИ РАН "Информационные технологии и системы 2022". Институт проблем передачи информации им. А.А. Харкевича РАН, 2022.
• Chapter Goncharova E., Ilvovsky D., Galitsky B. Concept-based chatbot for interactive query refinement in product search, in: Proceedings of the 9th International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2021) / Ed. by S. Kuznetsov, A. Napoli, S. Rudolph. Vol. 2972. CEUR-WS, 2021. P. 51-58.
• 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 Galitsky B., Ilvovsky D., Goncharova E. Relying on Discourse Analysis to Answer Complex Questions by Neural Machine Reading Comprehension, in: Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2021. INCOMA Ltd, 2021. P. 444-453.
• Chapter Galitsky B., Ilvovsky D., Goncharova E. Relying on Discourse Trees to Extract Medical Ontologies from Text, in: Artificial Intelligence. RCAI 2021. Lecture Notes in Computer Science / Ed. by S. M. Kovalev, S. Kuznetsov, A. I. Panov. Vol. 12948. Springer, 2021. P. 215-231. doi
• Chapter Chernyavskiy A., Ilvovsky D., Nakov P. Transformers: “The End of History” for Natural Language Processing?, in: Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part 3. Springer, 2021. P. 677-693. doi
• Chapter Chernyavskiy A., Ilvovsky D., Nakov P. WhatTheWikiFact: Fact-Checking Claims Against Wikipedia, in: CIKM ’21: Proceedings of the 30th ACM International conference on information and knowledge management. ACM, 2021. doi P. 4690-4695. 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 Ilvovsky D., Galitsky B. Dialogue management using extended discourse trees, in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 17 июня — 20 июня 2020 г.) / Под общ. ред.: В. Селегей. Вып. 19(26). М. : Изд-во РГГУ, 2020. P. 361-371.
• Chapter Makhalova T., Ilvovsky D., Galitsky B., Goncharova E. FCA-based Approach for Interactive Query Refinement with IR-chatbots, in: RAAI 2020 Russian Advances in Artificial Intelligence 2020 Selected Contributions of the "Russian Advances in Artificial Intelligence" Track at RCAI 2020 co-located with 18th Russian Conference on Artificial Intelligence (RCAI 2020) / Ed. by O. P. Kuznetsov, S. Kuznetsov, A. I. Panov, K. Yakovlev. Vol. 2648. CEUR-WS, 2020. P. 144-156.
• 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
• Chapter Ilvovsky D., Кириллович А., Галиева А., Невзорова О., Шаехов М., Лукашевич Н. В. Tatar WordNet: The sources and the component parts, in: Data Analytics and Management in Data Intensive Domains 21st International Conference, DAMDID/RCDL 2019 Kazan, Russia, October 15–18, 2019 Revised Selected Papers / Ed. by A. M. Elizarov, B. Novikov, S. A. Stupnikov. Springer, 2020. doi P. 195-208. doi
• Chapter Chernyavskiy A., Ilvovsky D., Nakov P. aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning, in: Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval-2020). Association for Computational Linguistics, 2020. P. 1462-1468. doi
• Chapter Смирнов Д. М., Ильвовский Д. А. Обогащение контекста вопросов знаниями из ConceptNet для улучшения точности ответов // В кн.: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 17 июня — 20 июня 2020 г.). Доклады студенческой сессии. / Под общ. ред.: В. Селегей. [б.и.], 2020.
• Chapter Ilvovsky D., Galitsky B. Discourse-Based Approach to Involvement of Background Knowledge for Question Answering, in: Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2019. INCOMA Ltd, 2019. P. 373-381. (in press)
• Chapter Chernyavskiy A., Ilvovsky D. Extract and Aggregate: A Novel Domain-Independent Approach to Factual Data Verification, in: Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER). Association for Computational Linguistics, 2019. P. 69-78. doi
• Chapter Makhalova T., Galitsky B., Ilvovsky D. Information Retrieval Chatbots Based on Conceptual Models, in: International Conference on Conceptual Structures Vol. 11530. Springer, 2019. doi P. 230-238. doi
• Chapter Galitsky B., Ilvovsky D., Goncharova E. On a Chatbot Conducting Dialogue-in-Dialogue, in: Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue. Association for Computational Linguistics, 2019. P. 118-121. doi
• Chapter Galitsky B., Ilvovsky D. On a Chatbot Conducting Virtual Dialogues, in: CIKM ’19: Proceedings of the 28th ACM International conference on information and knowledge management. Association for Computing Machinery (ACM), 2019. P. 2925-2928.
• Chapter Galitsky B., Ilvovsky D., Goncharova E. On a Chatbot Providing Virtual Dialogues, in: Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2019. INCOMA Ltd, 2019. P. 382-387. doi
• Chapter Galitsky B., Ilvovsky D. On the End-to-End Argument Validation System based on Communicative Discourse Trees, in: Proceedings of the 19th Workshop on Computational Models of Natural Argument (CMNA 2019) co-located with the 14th International Conference on Persuasive Technology (PERSUASIVE 2019). CEUR Workshop Proceedings, 2019. P. 5-16.
• Chapter Galitsky B., Ilvovsky D. Two Discourse Tree-Based Approaches to Indexing Answers, in: Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2019. INCOMA Ltd, 2019. P. 367-373. (in press)
• Article Galitsky B., Ilvovsky D., Kuznetsov S. Detecting logical argumentation in text via communicative discourse tree // Journal of Experimental and Theoretical Artificial Intelligence. 2018. Vol. 30. No. 5. P. 637-663. doi
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  Book CLLS 2016. Computational Linguistics and Language Science. Proceedings of the Workshop on Computational Linguistics and Language Science. Moscow, Russia, April 26, 2016 / Ed. by E. Artemova, D. Ilvovsky, D. Skorinkin, A. Vybornova. Vol. 1886. Aachen : CEUR Workshop Proceedings, 2017.
• Chapter Galitsky B., Ilvovsky D. Chatbot with a Discourse Structure-Driven Dialogue Management, in: Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics. Association for Computational Linguistics, 2017. P. 87-90.
• Chapter Galitsky B., Ilvovsky D. On a Chat Bot Finding Answers with Optimal Rhetoric Representation, in: Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017. Varna : INCOMA Ltd, 2017. P. 253-259. doi
• Chapter Galitsky B., Ilvovsky D. Text classification based on deep textual parsing, in: CLLS 2016. Computational Linguistics and Language Science. Proceedings of the Workshop on Computational Linguistics and Language Science. Moscow, Russia, April 26, 2016 / Ed. by E. Artemova, D. Ilvovsky, D. Skorinkin, A. Vybornova. Vol. 1886. Aachen : CEUR Workshop Proceedings, 2017. P. 57-65.
• Article Ильвовский Д. А., Артемова Е. Л. Глубинное обучение для автоматической обработки текстов // Открытые системы. СУБД. 2017. № 2. С. 26-29.
• Chapter Artemova E., Ilvovsky D. Annotated suffix trees for text clustering, in: The 3d International Workshop on Concept Discovery in Unstructured Data (CDUD 2016). Proceedings of the Third Workshop on Concept Discovery in Unstructured Data co-located with the 13th International Conference on Concept Lattices and Their Applications (CLA 2016), Moscow, Russia, July 18, 2016. CEUR Workshop Proceedings Vol. 1625. Aachen : CEUR Workshop Proceedings, 2016. P. 25-31.
• Book CDUD 2016 – The 3rd International Workshop on Concept Discovery in Unstructured Data / Ed. by J. Baixeries, D. I. Ignatov, D. Ilvovsky, A. Panchenko. CEUR Workshop Proceedings, 2016.
• Chapter Galitsky B., Ilvovsky D. Discovering disinformation: discourse-level approach, in: Пятнадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2016 (3-7 октября 2016г., г.Смоленск, Россия): Труды конференции Т. 1. Смоленск : Универсум, 2016. Ch. 2. P. 23-32.
• Chapter Wohlgenannt G., Artemova E., Ilvovsky D. Extracting social networks from literary text with word embedding tools, in: Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH). Osaka : , 2016. Ch. 4. P. 18-26.
• Chapter Galitsky B., Ilvovsky D., Artemova E., Kuznetsov S. Style and Genre Classification by Means of Deep Textual Parsing, in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва,1–4 июля 2016 г.) / Под общ. ред.: В. Селегей. Вып. 15. М. : Изд-во РГГУ, 2016. P. 171-181.
• Chapter Galitsky B., Ilvovsky D. Выявление искаженной информации: подход с использованием дискурсивных связей, in: Пятнадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2016 (3-7 октября 2016г., г.Смоленск, Россия): Труды конференции Т. 1. Смоленск : Универсум, 2016. P. 23-32.
• Chapter Greene G. J., Dunaiski M., Fischer B., Ilvovsky D., Kuznetsov S. Browsing publication data using tag clouds over concept lattices constructed by key-phrase extraction, in: RuZA 2015 Workshop. Proceedings of Russian and South African Workshop on Knowledge Discovery Techniques Based on Formal Concept Analysis (RuZA 2015). November 30 - December 5, 2015, Stellenbosch, South Africa / Ed. by S. Kuznetsov, B. W. Watson. Vol. 1552. Aachen : CEUR Workshop Proceedings, 2015. P. 10-22.
• Chapter Makhalova T., Ilvovsky D., Galitsky B. News clustering approach based on discourse text structure, in: ACL-IJCNLP 2015, Proceedings of the First Workshop on Computing News Storylines. Beijing : , 2015. P. 16-20.
• Chapter Makhalova T., Ilvovsky D., Galitsky B. Pattern structures for news clustering, in: Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at IJCAI 2015) / Ed. by Sergei O. Kuznetsov, A. Napoli, S. Rudolph. Buenos Aires : , 2015. P. 35-42.
• Chapter Galitsky B., Ilvovsky D., Kuznetsov S. Rhetoric map of an answer to compound queries, in: ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference. Vol. 2: Short papers. Beijing : , 2015. P. 681-686.
• Chapter Galitsky B., Ilvovsky D., Kuznetsov S. Text Classification into Abstract Classes Based on Discourse Structure, in: Proceedings of the Recent Advances in Natural Language Processing, RANLP 2015. Hissar : , 2015. P. 201-207.
• Chapter Galitsky B., Ilvovsky D., Kuznetsov S. Text integrity assessment: Sentiment profile vs rhetoric structure, in: Computational Linguistics and Intelligent Text Processing. 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings, Part II. Vol. 9042. Berlin : Springer, 2015. P. 126-139. doi
• Chapter Ilvovsky D., Artemova E. Visualisation of Russian newspaper corpus by means of reference graphs, in: RuZA 2015 Workshop. Proceedings of Russian and South African Workshop on Knowledge Discovery Techniques Based on Formal Concept Analysis (RuZA 2015). November 30 - December 5, 2015, Stellenbosch, South Africa / Ed. by S. Kuznetsov, B. W. Watson. Vol. 1552. Aachen : CEUR Workshop Proceedings, 2015. P. 1-9.
• Chapter Neznanov A., Ilvovsky D., Parinov A. Advancing FCA Workflow in FCART System for Knowledge Discovery in Quantitative Data, in: Procedia Computer Science. 2nd International Conference on Information Technology and Quantitative Management, ITQM 2014. National Research University Higher School of Economics (HSE) in Moscow (Russia) on June 3-5, 2014 / Ed. by Y. Shi, A. Lepskiy, F. T. Aleskerov. Vol. 31. Amsterdam : Elsevier, 2014. P. 201-210.
• Chapter Гадельшин И. Ф., Antonova A. Y., Ilvovsky D. Detection of Domain-Specific Trends in Text Collections, in: Analysis of Images, Social Networks and Texts Third International Conference, AIST 2014, Yekaterinburg, Russia, April 10-12, 2014, Revised Selected Papers / Ed. by D. I. Ignatov, M. Y. Khachay, A. Panchenko, N. Konstantinova, R. Yavorskiy. Vol. 439. Berlin : Springer, 2014. P. 78-84.
• Chapter Galitsky B., Ilvovsky D., Kuznetsov S., Strok F. V. Finding Maximal Common Sub-parse Thickets for Multi-sentence Search, in: Graph Structures for Knowledge Representation and Reasoning Third International Workshop, GKR 2013, Beijing, China, August 3, 2013. Revised Selected Papers Editors: Madalina Croitoru, Sebastian Rudolph, Stefan Woltran, Christophe Gonzales. Springer International Publishing. 2014.. Berlin : Springer, 2014. P. 39-57.
• Chapter Strok F. V., Galitsky B., Ilvovsky D. Pattern Structure Projections for Learning Discourse Structures, in: Artificial Intelligence: Methodology, Systems, and Applications 16th International Conference, AIMSA 2014, Varna, Bulgaria, September 11-13, 2014. Proceedings / Ed. by G. Agre, P. Hitzler, A. A. Krisnadhi, S. Kuznetsov. Vol. 8722. L., NY, Dordrecht, Heidelberg, Cham : Springer, 2014. P. 254-260.
• Article Ильвовский Д. А. Применение семантически связанных деревьев синтаксического разбора в задаче поиска ответов на вопросы, состоящие из нескольких предложений // Научно-техническая информация. Серия 2: Информационные процессы и системы. 2014. № 2. С. 28-37.
• Article Ильвовский Д. А., Артемова Е. Л. Системы автоматической обработки текстов // Открытые системы. СУБД. 2014. № 01. С. 51-53.
• Chapter Ilvovsky D., Klimushkin M. A. FCA-based Search for Duplicate Objects in Ontologies, in: Proceedings of the Workshop Formal Concept Analysis Meets Information Retrieval / Отв. ред.: S. Kuznetsov, C. Carpineto, A. Napoli. Vol. 977. M. : CEUR Workshop Proceedings, 2013. P. 44-54.
• Chapter Neznanov A., Ilvovsky D., Kuznetsov S. FCART: A New FCA-based System for Data Analysis and Knowledge Discovery, in: Contributions to the 11th International Conference on Formal Concept Analysis. Dresden : Qucoza, 2013. P. 31-44.
• Chapter Kuznetsov S., Strok F. V., Ilvovsky D., Galitsky B. Improving Text Retrieval Efficiency with Pattern Structures on Parse Thickets, in: Proceedings of the Workshop Formal Concept Analysis Meets Information Retrieval / Отв. ред.: S. Kuznetsov, C. Carpineto, A. Napoli. Vol. 977. M. : CEUR Workshop Proceedings, 2013. P. 6-21.
• Chapter Galitsky B., Ilvovsky D., Kuznetsov S., Strok F. V. Matching sets of parse trees for answering multi-sentence questions, in: Proceedings of the Recent Advances in Natural Language Processing. Hissar : INCOMA Ltd, 2013. P. 285-293.
• Chapter Galitsky B., Ilvovsky D., Kuznetsov S., Strok F. V. Parse thicket representations of text paragraphs, in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной Международной конференции «Диалог» (Бекасово, 29 мая - 2 июня 2013 г.). В 2-х т. Т. 1: Основная программа конференции. Вып. 12 (19). М. : РГГУ, 2013. P. 239-255.
• Chapter Ильвовский Д. А., Климушкин М. А. Выявление дубликатов объектов в прикладных онтологиях на основе методов анализа формальных понятий // В кн.: Сборник докладов 9-й международной конференции ИОИ-2012. Торус Пресс, 2012. С. 625-628.