--- title: "Yandex — research, people and papers" description: "Yandex (Moscow, Russia): 7 works on the Elamur Research site, 1 people with a page, 3,098 citations; its topics, units and the institutions it writes with." canonical: "https://research.elamur.ai/free/en/companies/yandex/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/companies/yandex/) [home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [companies](https://md.research.elamur.ai/free/en/companies/) / Yandex # Yandex Company [Moscow](https://md.research.elamur.ai/free/en/agglomerations/moscow/), Russiain the agglomeration of [Moscow](https://md.research.elamur.ai/free/en/agglomerations/moscow/) - [Website](https://yandex.com/company/) - [ROR](https://ror.org/04dbch786) - [OpenAlex](https://openalex.org/I58957048) [**7** works in our library](https://md.research.elamur.ai/free/en/companies/yandex/#works) · [**1** author with a page](https://md.research.elamur.ai/free/en/companies/yandex/#authors) · [**3,098** citations of these works](https://md.research.elamur.ai/free/en/companies/yandex/#works) · [**1,152** citations in our library](https://md.research.elamur.ai/free/en/companies/yandex/#works) ## People (1) Authors with a page here who worked or studied at Yandex, confirmed by their records or by their bylines: first those whose cited work was done most here; beside each, their citations. - [Elena Voita](https://md.research.elamur.ai/free/en/authors/elena-voita/) — 2018–2019 on 9 papers · 8 papers here · 3,834 citations **Also published with this affiliation (2)** Matched by the bylines of their papers, not confirmed: few papers there, or a small part of their work. - [Colin Raffel](https://md.research.elamur.ai/free/en/authors/colin-raffel/) — 2022–2023 on 2 papers · 15 papers here · 11,260 citations - [Eugene Kharitonov](https://md.research.elamur.ai/free/en/authors/eugene-kharitonov/) — 2012–2014 on 4 papers · 3 papers here · 1,268 citations ## Works in our library (7) The most cited first (OpenAlex citations plus our library's). - [Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned](https://md.research.elamur.ai/free/en/papers/voita-2019-analyzing-multi-head-self-attention/) — Elena Voita, David Talbot, Fedor Moiseev, et al. · 2019 · 1,511 citations - [Context-Aware Neural Machine Translation Learns Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/voita-2018-context-aware-neural-machine-translation/) — Elena Voita, Pavel Serdyukov, Rico Sennrich, et al. · 2018 · 446 citations - [BPE-Dropout: Simple and Effective Subword Regularization](https://md.research.elamur.ai/free/en/papers/provilkov-2020-bpe-dropout-simple-effective-subword/) — Ivan Provilkov, Dmitrii Emelianenko, Elena Voita · 2020 · 389 citations - [When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion](https://md.research.elamur.ai/free/en/papers/voita-2019-when-good-translation-is-wrong/) — Elena Voita, Rico Sennrich, Ivan Titov · 2019 · 321 citations - [The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives](https://md.research.elamur.ai/free/en/papers/voita-2019-bottom-up-evolution-representations-transformer/) — Elena Voita, Rico Sennrich, Ivan Titov · 2019 · 222 citations - [A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/muller-2018-large-scale-test-set-evaluation/) — Mathias Müller, Annette Rios, Elena Voita, et al. · 2018 · 123 citations - [A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/marcheggiani-2017-simple-accurate-syntax-agnostic-neural/) — Diego Marcheggiani, Anton Frolov, Ivan Titov · 2017 · 86 citations ## Topics What its works here are about; the number is its works on the topic. [Machine translation 4](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Coreference resolution 2](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Semantic role labeling 1](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) · [Evaluation & benchmarks 1](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Syntax & grammar formalisms 1](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) · [Tokenization & segmentation 1](https://md.research.elamur.ai/free/en/topics/tokenization/) Fields: [Linguistics & languages](https://md.research.elamur.ai/free/en/shelves/linguistics/) (3) · [Natural language processing](https://md.research.elamur.ai/free/en/shelves/nlp/) (2) · [Machine translation](https://md.research.elamur.ai/free/en/shelves/machine-translation/) (1) ## Collaborates with Institutions on the bylines of the same works here; the number is the works they share. [University of Amsterdam 7](https://md.research.elamur.ai/free/en/universities/university-of-amsterdam/) [University of Edinburgh 7](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/) [National Research University Higher School of Economics 1](https://md.research.elamur.ai/free/en/universities/national-research-university-higher-school-of-economics/) [University of Zurich 5](https://md.research.elamur.ai/free/en/universities/university-of-zurich/) [Amazon (Germany) 1](https://md.research.elamur.ai/free/en/companies/amazon-germany/) [Moscow Institute of Physics and Technology 2](https://md.research.elamur.ai/free/en/universities/moscow-institute-of-physics-and-technology/) [University of Glasgow 1](https://md.research.elamur.ai/free/en/universities/university-of-glasgow/) Yandex School of Data Analysis 1 Works and people from the bylines of the papers (OpenAlex): a person listed here worked or studied at Yandex; employment or education is named only where the person's ORCID record or Wikidata says so. Institution data from ROR and OpenAlex.