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A research scientist (PhD student) at BMSTU supervised by Natalia Loukachevitch at MSU, where work on Sentiment Attitudes Extraction task. The study is partially supported by RFBR. Now, considering the research as a toolkit development for Sentiment Attitudes Extraction, which is dubbed as AREkit. Email / CV / GitHub / Istina-MSU / Google Scholar |
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Interested in sentiment analysis, machine learning, relation extraction. Much of the research is about approaches in sentiment relation extraction from news and analytical articles, written in russian. Representative papers are highlighted. |
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(Framework) OpenSource Deep-Learning framework for Sentiment Attitude Extraction task. It supports neural networks written in Tensorflow. |
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Advances in Sentiment Attitude Extraction Task
Nicolay Rusnachenko Introduction to Humanistic Informatics course Denmark, Odense, November 26'th, 2020 (Online Lecture) video / slides This lecture is devoted to the works that were done within last 4 years, which is related sentiment attitude extraction task. |
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10-th Lisbon Machine Learning Summer School
Portugal, Lisbon, July 21-29, 2020 (Summer School) certificate Participant of summer school. |
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Nicolay Rusnachenko, Natalia Loukachevitch The 10th International Conference on Web Intelligence, Mining and Semantics (WIMS 2020), June 30-July 3 (arXiv:2006.13730) France, Biarritz, 2020 (Oral Presentation) bibtex / preprint-arXiv / code / slides Application of Distant Supervision in model training process results in a weight distribution biasing: frames in between subject and object of attitude got more weight values; the latter reflects the pattern of frame-based approach, utilized in RuAttitudes collection development. |
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Nicolay Rusnachenko, Natalia Loukachevitch Proceedings of the 25th International Conference on Natural Language and Information Systems NLDB 2020. Lecture Notes in Computer Science, vol 12089. Springer, Cham (arXiv:2006.11605) Germany, Saarbrücken, 2020 (Oral Presentation) bibtex / preprint-arXiv / code / slides |
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Natalia Loukachevitch, Nicolay Rusnachenko Proceedings of International Conference on Computational Linguistics and Intellectual Technologies Dialogue-2020 (arXiv:2006.10973) Russia, Moscow, 2020 (Oral Presentation) bibtex / ru-senti-frames / slides Provides a description of the developed RuSentiFrames lexicon with the related application for attitude extraction |
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Natalia Loukachevitch, Nicolay Rusnachenko Conversations Conference Moscow, Loft Hall, 26'th November, 2019 (Oral Presentation by supervisor) slides[rus] |
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slides[rus] / cnn-example Lecture extra materials (English): rnn-backprop / optimizers-overview |
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Nicolay Rusnachenko, Natalia Loukachevitch, Elena Tutubalina First Athens Natural Language Processing Summer School Greece, Athens, September 18-26, 2019 (Poster Presentation) poster (Summer School) labs / slides Participant of summer school. |
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Nicolay Rusnachenko, Natalia Loukachevitch, Elena Tutubalina Proceedings of Recent Advances in Natural Language Processing Conference Bulgaria, Varna, 2019 (Poster Presentation) bibtex / code / ru-attitudes / ru-senti-frames / poster / proceedings First time application of automatic attitudes extraction from raw news, based on news title presentation simplicity. |
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Nicolay Rusnachenko, Natalia Loukachevitch International Conference on Data Analytics and Management in Data Intensive Domains, Springer, 2018 bibtex / code Utilizing a set of sentence level attitudes with related metrics to perform a sentiment prediction. As for input of neural network based models, in prior works all the models deals with an attitudes limited by a single sentence. |
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Nicolay Rusnachenko, Natalia Loukachevitch DAMDID-2018, CEUR Workshop Proceedings (ceur-ws.org) Russia, Moscow (MSU), 2018 (Oral Presentation), (Poster Presentation) bibtex / code / slides / poster An application of CNN based architecture (adapted for relation extraction) towards sentiment attitudes extraction task. |
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Nicolay Rusnachenko, Natalia Loukachevitch EPiC Series in Language and Linguistics 4, 1-10, 2019 bibtex / code / slides / poster An application of CNN based architecture (adapted for relation extraction) towards sentiment attitudes extraction task. Presented at Third Workshop "Computational linguistics and language science" (CCLS-2018), HSE, Moscow. |
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Natalia Loukachevitch, Nicolay Rusnachenko Proceedings of International Conference on Computational Linguistics and Intellectual Technologies Dialogue-2018 (arXiv:1808.08932) Russia, Moscow, 2018 (Oral Presentation) bibtex / dataset / code / slides[1] / slides[2] The first approach, i.e introduction of sentiment attitudes extraction task. Includes developed dataset with related experiments. |
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Nicolay Rusnachenko, Natalia Loukachevitch International Conference on Text, Speech, and Dialogue (TSD) Czech Republic, Brno, 2018 (Oral Presentation) bibtex / dataset / code / slides Introduction of sentiment attitudes extraction task. Includes developed dataset with related experiments. |
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Nicolay Rusnachenko, Natalia Loukachevitch Artificial Intelligence and decision making (AIDM) journal, ISSN 2071-8594, 2017 (Best Student Paper Award at DIALOGUE-2016), (Poster Presentation) bibtex / poster / code Provides details on lexicon development using twitter messages (related works [pmi], [dev], [sota]). Sentiment classification of user reviews using SVM. Master degree paper. |
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Russia, Kazan, Kazan Federal University, 2018 (Poster Presentation) poster Russia, Saratov, SGU, 2016 Russia, Yekaterinburg, 2017 (Poster Presentation) poster |
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