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Analysis of Images, Social Networks and Texts

11th International Conference, AIST 2023, Yerevan, Armenia, September 28–30, 2023, Revised Selected Papers

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Dmitry I. Ignatov

    1. National Research University Higher School of Economics, Moscow, Russia

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  2. Michael Khachay

    1. Krasovskii Institute of Mathematics and Mechanics of Russian Academy of Sciences, Yekaterinburg, Russia

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  3. Andrey Kutuzov

    1. University of Oslo, Oslo, Norway

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  4. Habet Madoyan

    1. American University of Armenia, Yerevan, Armenia

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  5. Ilya Makarov

    1. Artificial Intelligence Research Institute, Moscow, Russia

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  6. Irina Nikishina

    1. University of Hamburg, Hamburg, Germany

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  7. Alexander Panchenko

    1. Skolkovo Institute of Science and Technology, Moscow, Russia

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  8. Maxim Panov

    1. Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates

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  9. Panos M. Pardalos

    1. University of Florida, Gainesville, USA

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  10. Andrey V. Savchenko

    1. National Research University Higher School of Economics, Nizhny Novgorod, Russia

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  11. Evgenii Tsymbalov

    1. Apptek, Aachen, Germany

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  12. Elena Tutubalina

    1. Kazan Federal University, Kazan, Russia

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  13. Sergey Zagoruyko

    1. MTS AI, Moscow, Russia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14486)

Included in the following conference series:

Conference proceedings info: AIST 2023.

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About this book

This book constitutes revised selected papers from the thoroughly refereed proceedings of the 11th International Conference on Analysis of Images, Social Networks and Texts, AIST 2023, held in Yerevan, Armenia, during September 28-30, 2023.  
The 24 full papers included in this book were carefully reviewed and selected from 93 submissions. They were organized in topical sections as follows: natural language processing; computer vision; data analysis and machine learning; network analysis; and theoretical machine learning and optimization. The book also contains one invited talk in full paper length. 

Keywords

Table of contents (25 papers)

  1. Front Matter

    Pages i-xxvii
    Download chapter PDF

  3. Natural Language Processing

    1. Front Matter

      Pages 19-19
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    2. Benchmarking Multilabel Topic Classification in the Kyrgyz Language

      • Anton Alekseev, Sergey Nikolenko, Gulnara Kabaeva
      Pages 21-35

    3. Transformers Compression: A Study of Matrix Decomposition Methods Using Fisher Information

      • Sergey Pletenev, Daniil Moskovskiy, Viktoriia Chekalina, Mikhail Seleznyov, Sergey Zagoruyko, Alexander Panchenko
      Pages 36-48

    4. Leveraging Taxonomic Information from Large Language Models for Hyponymy Prediction

      • Polina Chernomorchenko, Alexander Panchenko, Irina Nikishina
      Pages 49-63

    5. Content Selection in Abstractive Summarization with Biased Encoder Mixtures

      • Daniil Chernyshev, Boris Dobrov
      Pages 64-77

    6. RuCAM: Comparative Argumentative Machine for the Russian Language

      • Maria Maslova, Stefan Rebrikov, Anton Artsishevski, Sebastian Zaczek, Chris Biemann, Irina Nikishina
      Pages 78-91

    7. Paraphrasers and Classifiers: Controllable Text Generation for Text Style Transfer

      • Evgeny Orlov, Murat Apishev
      Pages 92-108

    8. Less than Necessary or More than Sufficient: Validating Probing Dataset Size

      • Evgeny Orlov, Oleg Serikov
      Pages 109-125

    9. Unsupervised Ultra-Fine Entity Typing with Distributionally Induced Word Senses

      • Özge Sevgili, Steffen Remus, Abhik Jana, Alexander Panchenko, Chris Biemann
      Pages 126-140

    10. Static, Dynamic, or Contextualized: What is the Best Approach for Discovering Semantic Shifts in Russian Media?

      • Veronika Nikonova, Maria Tikhonova
      Pages 141-153

    11. Controllable Story Generation Based on Perplexity Minimization

      • Sergey Vychegzhanin, Anastasia Kotelnikova, Alexander Sergeev, Evgeny Kotelnikov
      Pages 154-169

    12. Automatic Detection of Dialectal Features of Pskov Dialects in the Speech of Native Speakers

      • Ekaterina Zalivina
      Pages 170-184

    13. Needle in a Haystack: Finding Suitable Idioms Based on Text Descriptions

      • Dmitrii Zhernokleev, Pavel Braslavski
      Pages 185-196

  4. Computer Vision

    1. Front Matter

      Pages 197-197
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    2. DeepLOC: Deep Learning-Based Bone Pathology Localization and Classification in Wrist X-Ray Images

      • Razan Dibo, Andrey Galichin, Pavel Astashev, Dmitry V. Dylov, Oleg Y. Rogov
      Pages 199-211

    3. MiVOLO: Multi-input Transformer for Age and Gender Estimation

      • Maksim Kuprashevich, Irina Tolstykh
      Pages 212-226

    4. Handwritten Text Recognition and Browsing in Archive of Prisoners’ Letters from Smolensk Convict Prison

      • Nikita Lomov, Dmitry Kropotov, Danila Stepochkin, Anton Laptev
      Pages 227-240
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Other volumes

  1. Analysis of Images, Social Networks and Texts

  2. Recent Trends in Analysis of Images, Social Networks and Texts

Editors and Affiliations

  • National Research University Higher School of Economics, Moscow, Russia

    Dmitry I. Ignatov

  • Krasovskii Institute of Mathematics and Mechanics of Russian Academy of Sciences, Yekaterinburg, Russia

    Michael Khachay

  • University of Oslo, Oslo, Norway

    Andrey Kutuzov

  • American University of Armenia, Yerevan, Armenia

    Habet Madoyan

  • Artificial Intelligence Research Institute, Moscow, Russia

    Ilya Makarov

  • University of Hamburg, Hamburg, Germany

    Irina Nikishina

  • Skolkovo Institute of Science and Technology, Moscow, Russia

    Alexander Panchenko

  • Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates

    Maxim Panov

  • University of Florida, Gainesville, USA

    Panos M. Pardalos

  • National Research University Higher School of Economics, Nizhny Novgorod, Russia

    Andrey V. Savchenko

  • Apptek, Aachen, Germany

    Evgenii Tsymbalov

  • Kazan Federal University, Kazan, Russia

    Elena Tutubalina

  • MTS AI, Moscow, Russia

    Sergey Zagoruyko

Bibliographic Information

  • Book Title: Analysis of Images, Social Networks and Texts

  • Book Subtitle: 11th International Conference, AIST 2023, Yerevan, Armenia, September 28–30, 2023, Revised Selected Papers

  • Editors: Dmitry I. Ignatov, Michael Khachay, Andrey Kutuzov, Habet Madoyan, Ilya Makarov, Irina Nikishina, Alexander Panchenko, Maxim Panov, Panos M. Pardalos, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina, … Sergey Zagoruyko

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-54534-4

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-54533-7Published: 20 March 2024

  • eBook ISBN: 978-3-031-54534-4Published: 19 March 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXVII, 364

  • Number of Illustrations: 43 b/w illustrations, 74 illustrations in colour

  • Topics: Data Mining and Knowledge Discovery, Machine Learning, Database Management, Natural Language Processing (NLP), Information Storage and Retrieval, Computer Applications

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