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Analysis of Images, Social Networks and Texts

10th International Conference, AIST 2021, Tbilisi, Georgia, December 16–18, 2021, Revised Selected Papers

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Evgeny Burnaev

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

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  2. Dmitry I. Ignatov

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

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  3. Sergei Ivanov

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

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  4. Michael Khachay

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

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  5. Olessia Koltsova

    1. National Research University Higher School of Economics, St. Petersburg, Russia

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  6. Andrei Kutuzov

    1. University of Oslo, Oslo, Norway

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  7. Sergei O. Kuznetsov

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

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  8. Natalia Loukachevitch

    1. Lomonosov Moscow State University, Moscow, Russia

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  9. Amedeo Napoli

    1. LORIA, Campus Scientifique, Vandœuvre lès Nancy, France

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  10. Alexander Panchenko

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

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  11. Panos M. Pardalos

    1. University of Florida, Gainesville, USA

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  12. Jari Saramäki

    1. Aalto University, Espoo, Finland

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  13. Andrey V. Savchenko

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

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  14. Evgenii Tsymbalov

    1. Yandex LLC, Moscow, Russia

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  15. Elena Tutubalina

    1. Kazan Federal University, Kazan, Russia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13217)

Included in the following conference series:

Conference proceedings info: AIST 2021.

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Table of contents (27 papers)

  1. Front Matter

    Pages i-xxiii
    Download chapter PDF

  2. Invited Papers

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. On Georgian Text Processing Toolkit Development

      • Magda Tsintsadze, Manana Khachidze, Maia Archuadze
      Pages 3-8

    3. Taxonomy Enrichment with Text and Graph Vector Representation

      • Irina Nikishina
      Pages 9-19

  3. Natural Language Processing

    1. Front Matter

      Pages 21-21
      Download chapter PDF

    2. Near-Zero-Shot Suggestion Mining with a Little Help from WordNet

      • Anton Alekseev, Elena Tutubalina, Sejeong Kwon, Sergey Nikolenko
      Pages 23-36

    3. Selection of Pseudo-Annotated Data for Adverse Drug Reaction Classification Across Drug Groups

      • Ilseyar Alimova, Elena Tutubalina
      Pages 37-44

    4. Building a Combined Morphological Model for Russian Word Forms

      • Elena I. Bolshakova, Alexander S. Sapin
      Pages 45-55

    5. SocialBERT – Transformers for Online Social Network Language Modelling

      • Ilia Karpov, Nick Kartashev
      Pages 56-70

    6. Lexicon-Based Methods vs. BERT for Text Sentiment Analysis

      • Anastasia Kotelnikova, Danil Paschenko, Klavdiya Bochenina, Evgeny Kotelnikov
      Pages 71-83

    7. Multilingual Embeddings for Clustering Cultural Events

      • Maria Kunilovskaya, Elizaveta Kuzmenko
      Pages 84-96

    8. Jokingbird: Funny Headline Generation for News

      • Nikita Login, Alexander Baranov, Pavel Braslavski
      Pages 97-109

    9. Learning to Rank with Capsule Neural Networks

      • Anna Nesterenko, Anastasia Ianina
      Pages 110-123

    10. Building a Bilingual QA-system with ruGPT-3

      • Tatiana Shavrina, Dina Pisarevskaya, Valentin Malykh
      Pages 124-136

    11. Sculpting Enhanced Dependencies for Belarusian

      • Yana Shishkina, Olga Lyashevskaya
      Pages 137-147

    12. Improving Morpheme Segmentation Using BERT Embeddings

      • Alexey Sorokin
      Pages 148-161

    13. Training Dataset and Dictionary Sizes Matter in BERT Models: The Case of Baltic Languages

      • Matej Ulčar, Marko Robnik-Šikonja
      Pages 162-172
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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

Keywords

About this book

This book constitutes revised selected papers from the thoroughly refereed proceedings of the 10th International Conference on Analysis of Images, Social Networks and Texts, AIST 2021, held in Tbilisi, Georgia, during December 16–18, 2021. 
 
The 20 full papers and 5 short papers included in this book were carefully reviewed and selected from 118 submissions. They were organized in topical sections as follows: Invited papers; natural language processing; computer vision; data analysis and machine learning; social network analysis; and theoretical machine learning and optimization.

Editors and Affiliations

  • Skolkovo Institute of Science and Technology, Moscow, Russia

    Evgeny Burnaev, Sergei Ivanov, Alexander Panchenko

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

    Dmitry I. Ignatov, Sergei O. Kuznetsov

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

    Michael Khachay

  • National Research University Higher School of Economics, St. Petersburg, Russia

    Olessia Koltsova

  • University of Oslo, Oslo, Norway

    Andrei Kutuzov

  • Lomonosov Moscow State University, Moscow, Russia

    Natalia Loukachevitch

  • LORIA, Campus Scientifique, Vandœuvre lès Nancy, France

    Amedeo Napoli

  • University of Florida, Gainesville, USA

    Panos M. Pardalos

  • Aalto University, Espoo, Finland

    Jari Saramäki

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

    Andrey V. Savchenko

  • Yandex LLC, Moscow, Russia

    Evgenii Tsymbalov

  • Kazan Federal University, Kazan, Russia

    Elena Tutubalina

Bibliographic Information

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

  • Book Subtitle: 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16–18, 2021, Revised Selected Papers

  • Editors: Evgeny Burnaev, Dmitry I. Ignatov, Sergei Ivanov, Michael Khachay, Olessia Koltsova, Andrei Kutuzov, Sergei O. Kuznetsov, Natalia Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Jari Saramäki, Andrey V. Savchenko, Evgenii Tsymbalov, … Elena Tutubalina

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-16500-9

  • 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 2022

  • Softcover ISBN: 978-3-031-16499-6Published: 02 November 2022

  • eBook ISBN: 978-3-031-16500-9Published: 01 November 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXIII, 345

  • Number of Illustrations: 24 b/w illustrations, 64 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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