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NEREL: A Russian Dataset with Nested Named Entities, Relations and Events


Sep 03, 2021
Natalia Loukachevitch, Ekaterina Artemova, Tatiana Batura, Pavel Braslavski, Ilia Denisov, Vladimir Ivanov, Suresh Manandhar, Alexander Pugachev, Elena Tutubalina

* accepted to RANLP 

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NEREL: A Russian Dataset with Nested Named Entities and Relations


Aug 30, 2021
Natalia Loukachevitch, Ekaterina Artemova, Tatiana Batura, Pavel Braslavski, Ilia Denisov, Vladimir Ivanov, Suresh Manandhar, Alexander Pugachev, Elena Tutubalina

* accepted to RANLP 

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RuREBus: a Case Study of Joint Named Entity Recognition and Relation Extraction from e-Government Domain


Oct 29, 2020
Vitaly Ivanin, Ekaterina Artemova, Tatiana Batura, Vladimir Ivanov, Veronika Sarkisyan, Elena Tutubalina, Ivan Smurov

* to appear in AIST 2020 

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Inno at SemEval-2020 Task 11: Leveraging Pure Transformer for Multi-Class Propaganda Detection


Aug 27, 2020
Dmitry Grigorev, Vladimir Ivanov

* 7 pages, SEMEVAL TASK 11, COLING 2020 

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So What's the Plan? Mining Strategic Planning Documents


Jul 07, 2020
Ekaterina Artemova, Tatiana Batura, Anna Golenkovskaya, Vitaly Ivanin, Vladimir Ivanov, Veronika Sarkisyan, Ivan Smurov, Elena Tutubalina

* 15 pages, 3 figures, 5 tables. The paper has been accepted for the Fifth International Conference on Digital Transformation and Global Society (DTGS 2020) 

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So What's the Plan? Mining Strategic Planning Document


Jul 01, 2020
Ekaterina Artemova, Tatiana Batura, Anna Golenkovskaya, Vitaly Ivanin, Vladimir Ivanov, Veronika Sarkisyan, Ivan Smurov, Elena Tutubalina

* 15 pages, 3 figures, 5 tables. The paper has been accepted for the Fifth International Conference on Digital Transformation and Global Society (DTGS 2020) 

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Realistic Physics Based Character Controller


Jun 12, 2020
Joe Booth, Vladimir Ivanov

* 5 pages 

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SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations


Nov 27, 2019
Chen Wang, Chengyuan Deng, Vladimir Ivanov


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Towards Federated Learning at Scale: System Design


Mar 22, 2019
Keith Bonawitz, Hubert Eichner, Wolfgang Grieskamp, Dzmitry Huba, Alex Ingerman, Vladimir Ivanov, Chloe Kiddon, Jakub Konečný, Stefano Mazzocchi, H. Brendan McMahan, Timon Van Overveldt, David Petrou, Daniel Ramage, Jason Roselander


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Practical Secure Aggregation for Federated Learning on User-Held Data


Nov 14, 2016
Keith Bonawitz, Vladimir Ivanov, Ben Kreuter, Antonio Marcedone, H. Brendan McMahan, Sarvar Patel, Daniel Ramage, Aaron Segal, Karn Seth

* 5 pages, 1 figure. To appear at the NIPS 2016 workshop on Private Multi-Party Machine Learning 

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