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July 6, 2026
Ancient Craniiform Brachiopod: A Newly Discovered Species with a Unique Shell Shape and Lifestyle
Scientists from HSE University, MSU, and Tallinn University of Technology have studied a fossil species of ancient brachiopods that lived in a warm sea in what is now northern Estonia more than 445 million years ago. These ancient brachiopods developed a cup-shaped shell with a protective 'cap' that shielded them from overgrowth by other marine organisms. The study has been published in Palaeogeography, Palaeoclimatology, Palaeoecology.
July 2, 2026
Researchers Discover How Spelling Errors Slow Down Reading in Russian
Psycholinguists from the Centre for Language and Brain at HSE University–St Petersburg have shown that words that are frequently misspelled are processed more slowly by readers, even when presented with the correct spelling. The researchers confirmed this effect for the first time using Russian-language materials and found that response speed is most strongly linked to how confidently individuals can distinguish the correct spelling of a word from an incorrect one. The study has been published in The Mental Lexicon.
July 2, 2026
HSE Develops App for Assessing Phonological Processing in Children
Researchers at the HSE Centre for Language and Brain have developed a new digital tool for assessing children's phonological processing skills—the ZARYA (Sound Analysis of the Russian Language) test battery. It is the first standardised application in Russia designed to provide a fast and reliable assessment of children's ability to distinguish speech sounds, retain them in working memory, and perform phonemic analysis. The app runs on Android tablets and smartphones and is available for download from RuStore. Details of the test validation have been published in the Journal of Speech, Language, and Hearing Research.

 

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Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Association for Computational Linguistics, 2020.
Academic editor: B. Webber
Under the general editorship: T. Cohn, Y. He, Y. Liu

Like my colleague, Dan Jurafsky, General Chair of ACL-2020, the first ACL conference to be hit by the virus that has up-ended our world, I am sitting at my laptop, in the same chair I have sat in since March 2020, to welcome you to EMNLP-2020. It is also where I am likely to be sitting for EMNLP-2020 itself. As in previous years, the purpose of the General Chair’s preface to express thanks — first, to the obvious people whose heroic efforts brought such a large conference to fruition, including: • the three Programme Co-Chairs — Trevor Cohn, Yulan He and Yang Liu — who oversaw a process in which 3677 papers were submitted for review from 57 countries; • the Senior Area Chairs, Area Chairs and reviewers whose expertise enabled authors to learn from their reviews and to deliver papers that improved on their original submissions; • the Publication Co-Chairs — Yang Gao, Veronika Laippala and Philippe Muller — and the experience they gained from the General Publication Chair, Fei Liu, who met the challenge of identifying and correcting the myriad ways in which papers could be mis-formatted and assembled the result into our conference proceedings • the Co-Chairs of Findings of the ACL – Jing Li and Lemao Liu – ACL’s new publication venue, and Kushal Arora, who implemented a new process for matching Findings papers to workshops where they might be presented; • the Tutorial Co-Chairs — Aline Villavicencio and Benjamin Van Durme — who selected the seven tutorials to be presented at the conference; • the Demonstration Co-Chairs — Qun Liu and David Schlangen — who did the same for the 35 demos that we will see over the course of the conference; • the new Ethics Co-Chairs — Dirk Hovy and Karën Fort — who undertook the delicate task of checking papers that had been flagged for potential ethics issues; • our website chair, Andy MacKinlay, who ensured that the EMNLP-2020 website stayed fit for purpose. But, in addition, we must also thank others whose support has been critical to both virtualizing EMNLP2020 and keeping the community engaged with it — • the members of the Virtual Infra-structure Committee, co-chaired by Jan-Christoph Klie and Zhongyu Wei — Eduardo Blanco, Yang Feng and Yansong Feng — helped by advisors from the ACL-2020 Virtual Infra-structure Committee — Hao Fang, Sudha Rao and Xiruo Ding; • the Volunteer Coordinator — Kellie Webster — who managed to attract over 200 student and early career volunteers willing to help make EMNLP a success; • of those student and early career volunteers, those who shouldered responsibility for important parts of the infra-structure, including Luciana Benotti and Cyril Weerasooriya (RocketChat), Ed Howard-Jones (HelpDesk), and Gisela Vallejo (Zoom); • also of those student and early career volunteers, those who undertook to build booths for our sponsors — Kaushal Kumar Maurya, Francisco Xavier Sumba Toral, Saichethan M. Reddy, Shirley Anugrah Hayati, Manan Dey, Eraldo R. Fernandes, Arshiya Aggarwal, Alfredo Lozano, Jiaxin Pei, Junheng Hao, Reem Al-Yami, Anish Mohan, Christian Kavouras, Tornike Tsereteli, Emily Chen, Wiem Ben Rim and Chandrahas; v • the Publicity Co-chairs — Anna Rogers and Ruifeng Xu — who have served as both the voice of EMNLP in communicating with the community and as its ears, reporting on community concerns as soon as they were expressed; • the Workshop Co-chairs — Jackie Chi Kit Cheung and Lonneke van der Plas — whose work in selecting the 24 workshops for EMNLP-2020 turned out to be only the start of ensuring that the workshops could successfully run virtually; • the Diversity & Inclusion Chairs – Isabelle Augenstein and Chris Brew — and the D&I Student Chairs – Murathan Kurfali and Prathyusha Jwalapuram — who have worked tirelessly to make EMNLP as welcoming and inclusive as possible for all participants. The activities that they have worked with community members to create (Birds of a Feather sessions, Affinity Group sessions, student panels, Mentoring sessions and Coffee Socials) should contribute to reinforcing us as a community (and as sub-groups within the community), despite not being together physically. We also want to express special thanks to Priscilla Rasmussen, the ACL Business Manager, first for booking EMNLP 2020 into a beautiful resort in the Dominican Republic, and then for getting the booking postponed until EMNLP 2021. Last but not least, I would like to express gratitude to our sponsors, whose generous support has been invaluable in building up EMNLP to what it is now. These include our Diamond-level sponsors — Bloomberg Engineering, Google Research, Apple and Amazon Science; our Platinum-level sponsors — Baidu, Megagon Labs, Facebook and DeepMind; our Gold-level sponsors — Grammarly, ByteDance and Zeta Alpha; our Silver-level sponsors — Babelscape, Naver, Adobe, Hitachi and Salesforce; and our Bronze-level sponsor — USC ISI. DeepMind has also generously contributed to supporting our Diversity & Inclusion activities.

Chapters
Embedding Words in Non-Vector Space with Unsupervised Graph Learning
Ryabinin M., Sergei Popov, Liudmila Prokhorenkova et al., , in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP).: Association for Computational Linguistics, 2020. P. 7317–7331.
It has become a de-facto standard to represent words as elements of a vector space (word2vec, GloVe). While this approach is convenient, it is unnatural for language: words form a graph with a latent hierarchical structure, and this structure has to be revealed and encoded by word embeddings. We introduce Graph-Glove: unsupervised graph word representations ...
Added: January 14, 2021
RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark
Shavrina T., Fenogenova A., Emelyanov A. et al., , in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP).: Association for Computational Linguistics, 2020. P. 4717–4726.
Added: November 22, 2020
RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark
Shavrina T., Fenogenova A., Emelyanov A. et al., , in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP).: Association for Computational Linguistics, 2020. P. 4717–4726.
In this paper, we introduce an advanced Russian general language understanding evaluation benchmark – RussianSuperGLUE. Recent advances in the field of universal language models and transformers require the development of a methodology for their broad diagnostics and testing for general intellectual skills - detection of natural language inference, commonsense reasoning, ability to perform simple logical ...
Added: June 14, 2026
Research target: Computer Science
Priority areas: humanitarian IT and mathematics engineering science
Language: English
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Keywords: natural language processing
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
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