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Recent Trends in Analysis of Images, Social Networks and Texts

11th International Conference, AIST 2023, Yerevan, Armenia, September 28–30, 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. Universität 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 and Technology Innovation Institute, Abu Dhabi, United Arab Emirates

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  9. Panos M. Pardalos

    1. Industrial and Systems Engineering, 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 and HSE University, Moscow, Russia

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  13. Sergey Zagoruyko

    1. MTS AI, Moscow, Russia

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1905)

Included in the following conference series:

Conference proceedings info: AIST 2023.

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About this book

​This book constitutes the refereed proceedings of the 11th International Conference on Recent Trends in Analysis of Images, Social Networks and Texts, AIST 2023, held in Yerevan, Armenia, during September 28–30, 2023.

The 19 full papers 2 short papers and 1 demo paper included in this book were carefully reviewed and selected from 52 submissions. They were organized in topical sections as follows: Natural Language Processing; Computer Vision; Data Analysis and Machine Learning; Network Analysis; Theoretical Machine Learning and Optimization; and Demo Paper.

Keywords

Table of contents (23 papers)

  1. Front Matter

    Pages i-xliii
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  2. Natural Language Processing

    1. Front Matter

      Pages 1-1
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    2. Determination of the Number of Topics Intrinsically: Is It Possible?

      • Victor Bulatov, Vasiliy Alekseev, Konstantin Vorontsov
      Pages 3-17

    3. Sentence Difficulty in Three Languages: Russian Dataset Compared to Italian and English

      • Vladimir Ivanov, Elbayoumi Mohamed Gamal
      Pages 18-28

    4. Machine Translation Models Stand Strong in the Face of Adversarial Attacks

      • Pavel Burnyshev, Elizaveta Kostenok, Alexey Zaytsev
      Pages 29-41

    5. Whether Large Language Models Learn at the Inference Stage? Effects of Active Learning and Labelling with LLMs on their Reasoning

      • Vladlen Kulikov, Radoslav Neychev, Ilya Makarov
      Pages 42-53

    6. Machine Translation for Russian-Khakas Language Pair: Translation Results in Low-Resource Setting

      • Anna Lebedeva
      Pages 54-66

    7. Automatic Aspect Extraction from Scientific Texts

      • Anna Marshalova, Elena Bruches, Tatiana Batura
      Pages 67-80

    8. User Review Summarization in Russian

      • Artem Prisiazhniuk, Valentin Malykh
      Pages 81-95

    9. Tuning-Free Discriminative Nearest Neighbor Few-Shot Intent Detection via Consecutive Knowledge Transfer

      • Maksim Savkin, Vasily Konovalov
      Pages 96-110

    10. Prompt-Tuning for Targeted Sentiment Analysis in Russian

      • Yuliana Solomatina, Natalia Loukachevitch
      Pages 111-124

    11. On the Way to Controllable Text Summarization in Russian

      • Alena Dremina, Maria Tikhonova
      Pages 125-135

    12. Document-Level Relation Extraction in Russian

      • Alexey V. Yandutov, Natalia V. Loukachevitch
      Pages 136-148

    13. The Battle of Information Representations: Comparing Sentiment and Semantic Features for Forecasting Market Trends

      • Andrei Zaichenko, Aleksei Kazakov, Elizaveta Kovtun, Semen Budennyy
      Pages 149-163

  3. Computer Vision

    1. Front Matter

      Pages 165-165
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    2. Interactive Image Segmentation with Superpixel Propagation

      • Hrach Ayunts, Varduhi Yeghiazaryan, Shant Navasardyan, Humphrey Shi
      Pages 167-179

    3. Gesture Recognition on Video Data

      • Georgy Gunkin, Ilya Makarov
      Pages 180-193

    4. Semantic-Aware GAN Manipulations for Human Face Editing

      • Pavel Khlusov, Ilya Makarov
      Pages 194-208

    5. Learning Facial Expression Recognition In-the-Wild from Synthetic Data Based on an Ensemble of Lightweight Neural Networks

      • Long Nguyen, Andrey V. Savchenko
      Pages 209-221

    6. Acne Recognition: Training Models with Experts

      • Nikolic Stefan, Dmitry I. Ignatov, Peter Fedorov
      Pages 222-231
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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

  • Universität Hamburg, Hamburg, Germany

    Irina Nikishina

  • Skolkovo Institute of Science and Technology, Moscow, Russia

    Alexander Panchenko

  • Mohamed bin Zayed University of Artificial Intelligence and Technology Innovation Institute, Abu Dhabi, United Arab Emirates

    Maxim Panov

  • Industrial and Systems Engineering, 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 and HSE University, Moscow, Russia

    Elena Tutubalina

  • MTS AI, Moscow, Russia

    Sergey Zagoruyko

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