Chatbot with a discourse structure-driven dialogue management B Galitsky, D Ilvovsky Proceedings of the Software Demonstrations of the 15th Conference of the …, 2017 | 36 | 2017 |
Matching sets of parse trees for answering multi-sentence questions B Galitsky, D Ilvovsky, SO Kuznetsov, F Strok Proceedings of the International Conference Recent Advances in Natural …, 2013 | 29 | 2013 |
Transformers:“the end of history” for natural language processing? A Chernyavskiy, D Ilvovsky, P Nakov Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 28 | 2021 |
Rhetoric map of an answer to compound queries B Galitsky, D Ilvovsky, SO Kuznetsov Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 26 | 2015 |
Detecting logical argumentation in text via communicative discourse tree B Galitsky, D Ilvovsky, SO Kuznetsov Journal of Experimental & Theoretical Artificial Intelligence 30 (5), 637-663, 2018 | 24 | 2018 |
Extracting social networks from literary text with word embedding tools G Wohlgenannt, E Chernyak, D Ilvovsky Proceedings of the Workshop on Language Technology Resources and Tools for …, 2016 | 24 | 2016 |
Fcart: A new fca-based system for data analysis and knowledge discovery AA Neznanov, DA Ilvovsky, SO Kuznecov Technische Universität Dresden, Fakultät Mathematik und Naturwissenschaften …, 2013 | 21 | 2013 |
Finding maximal common sub-parse thickets for multi-sentence search BA Galitsky, D Ilvovsky, SO Kuznetsov, F Strok Graph Structures for Knowledge Representation and Reasoning: Third …, 2014 | 20 | 2014 |
Text classification into abstract classes based on discourse structure B Galitsky, D Ilvovsky, SO Kuznetsov Proceedings of the international conference recent advances in natural …, 2015 | 17 | 2015 |
Aschern at SemEval-2020 task 11: It takes three to tango: RoBERTa, CRF, and transfer learning A Chernyavskiy, D Ilvovsky, P Nakov arXiv preprint arXiv:2008.02837, 2020 | 15 | 2020 |
Improving text retrieval efficiency with pattern structures on parse thickets BA Galitsky, D Ilvovsky, F Strok, SO Kuznetsov Proceedings of FCAIR, 6-21, 2013 | 15 | 2013 |
Going beyond sentences when applying tree kernels D Ilvovsky Proceedings of the ACL 2014 student research workshop, 56-63, 2014 | 14 | 2014 |
Advancing FCA workflow in FCART system for knowledge discovery in quantitative data A Neznanov, D Ilvovsky, A Parinov Procedia Computer Science 31, 201-210, 2014 | 14 | 2014 |
Aschern at CheckThat! 2021: lambda-calculus of fact-checked claims A Chernyavskiy, D Ilvovsky, P Nakov Faggioli et al.[12], 2021 | 13 | 2021 |
Improving trust in automation of social promotion B Galitsky, D Ilvovsky, N Lebedeva, D Usikov 2014 AAAI Spring Symposium Series, 2014 | 13 | 2014 |
Argumentation in text: discourse structure matters B Galitsky, D Ilvovsky, D Pisarevskaya Computational Linguistics and Intelligent Text Processing: 19th …, 2023 | 11 | 2023 |
Style and genre classification by means of deep textual parsing B Galitsky, D Ilvovsky, SO Kuznetsov Computational Linguistics and Intellectual Technologies: Proceedings of the …, 2016 | 11 | 2016 |
Information retrieval chatbots based on conceptual models T Makhalova, D Ilvovsky, B Galitsky Graph-Based Representation and Reasoning: 24th International Conference on …, 2019 | 10 | 2019 |
On a Chat Bot Finding Answers with Optimal Rhetoric Representation. BA Galitsky, DI Ilvovsky RANLP, 253-259, 2017 | 10 | 2017 |
Extract and aggregate: A novel domain-independent approach to factual data verification A Chernyavskiy, D Ilvovsky Proceedings of the Second Workshop on Fact Extraction and VERification …, 2019 | 9 | 2019 |