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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. Meanwhile the job is devoted to development on .NET platform. The latter allows to consider the research as a toolkit development for Sentiment Attitudes Extraction. Email / CV / GitHub / 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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OpenSource Framework for Sentiment Attitude Extraction task (Framework) |
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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 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 Sentiment classification of user reviews using SVM. Master degree paper. |
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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 School important materials: labs / slides Participant of summer school. |
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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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