Analysis of Images, Social Networks and Texts

6th International Conference, AIST 2017, Moscow, Russia, July 27–29, 2017, Revised Selected Papers

  • Wil M.P. van der Aalst
  • Dmitry I. Ignatov
  • Michael Khachay
  • Sergei O. Kuznetsov
  • Victor Lempitsky
  • Irina A. Lomazova
  • Natalia Loukachevitch
  • Amedeo Napoli
  • Alexander Panchenko
  • Panos M. Pardalos
  • Andrey V. Savchenko
  • Stanley Wasserman
Conference proceedings AIST 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10716)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 10716)

Table of contents

  1. Front Matter
    Pages I-XXX
    PDF

  2. Natural Language Processing

    1. Front Matter
      Pages 1-1
      PDF
    2. Automated Detection of Adverse Drug Reactions from Social Media Posts with Machine Learning
      Ilseyar Alimova, Elena Tutubalina
      Pages 3-15
    3. Automated Detection of Non-Relevant Posts on the Russian Imageboard “2ch”: Importance of the Choice of Word Representations
      Amir Bakarov, Olga Gureenkova
      Pages 16-21
    4. A Morphological Processor for Russian with Extended Functionality
      Elena I. Bolshakova, Alexander S. Sapin
      Pages 22-33
    5. SyntaxNet Errors from the Linguistic Point of View
      Oleg Durandin, Alexey Malafeev, Nikolai Zolotykh
      Pages 34-46
    6. Size vs. Structure in Training Corpora for Word Embedding Models: Araneum Russicum Maximum and Russian National Corpus
      Andrey Kutuzov, Maria Kunilovskaya
      Pages 47-58
    7. Combining Thesaurus Knowledge and Probabilistic Topic Models
      Natalia Loukachevitch, Michael Nokel, Kirill Ivanov
      Pages 59-71
    8. Russian-Language Question Classification: A New Typology and First Results
      Kirill Nikolaev, Alexey Malafeev
      Pages 72-81
    9. Domain Adaptation for Resume Classification Using Convolutional Neural Networks
      Luiza Sayfullina, Eric Malmi, Yiping Liao, Alexander Jung
      Pages 82-93
    10. Fighting with the Sparsity of Synonymy Dictionaries for Automatic Synset Induction
      Dmitry Ustalov, Mikhail Chernoskutov, Chris Biemann, Alexander Panchenko
      Pages 94-105
    11. Men Are from Mars, Women Are from Venus: Evaluation and Modelling of Verbal Associations
      Ekaterina Vylomova, Andrei Shcherbakov, Yuriy Philippovich, Galina Cherkasova
      Pages 106-115
    12. Rotations and Interpretability of Word Embeddings: The Case of the Russian Language
      Alexey Zobnin
      Pages 116-128

  3. General Topics of Data Analysis

    1. Front Matter
      Pages 129-129
      PDF
    2. HuGaDB: Human Gait Database for Activity Recognition from Wearable Inertial Sensor Networks
      Roman Chereshnev, Attila Kertész-Farkas
      Pages 131-141
    3. On Finding Maximum Cardinality Subset of Vectors with a Constraint on Normalized Squared Length of Vectors Sum
      Anton V. Eremeev, Alexander V. Kelmanov, Artem V. Pyatkin, Igor A. Ziegler
      Pages 142-151
    4. Using Cluster Analysis for Characteristics Detection in Software Defect Reports
      Anna Gromova
      Pages 152-163
    5. A Machine Learning Approach to Enhanced Oil Recovery Prediction
      Fedor Krasnov, Nikolay Glavnov, Alexander Sitnikov
      Pages 164-171
    6. An Approach to Establishing the Correspondence of Spatial Objects on Heterogeneous Maps Based on Methods of Computational Topology
      Sergey Eremeev, Kirill Kuptsov, Semyon Romanov
      Pages 172-182
    7. Predicting Winning Team and Probabilistic Ratings in “Dota 2” and “Counter-Strike: Global Offensive” Video Games
      Ilya Makarov, Dmitry Savostyanov, Boris Litvyakov, Dmitry I. Ignatov
      Pages 183-196

About these proceedings

Introduction

This book constitutes the proceedings of the 6th International Conference on Analysis of Images, Social Networks and Texts, AIST 2017, held in Moscow, Russia, in July 2017.

The 29 full papers and 8 short papers were carefully reviewed and selected from 127 submissions. The papers are organized in topical sections on natural language processing; general topics of data analysis; analysis of images and video; optimization problems on graphs and network structures; analysis of dynamic behavior through event data; social network analysis.

Keywords

analysis of images and video artificial intelligence classification cluster analysis computational linguistics data mining graph theory image analysis information retrieval internet machine learning natural language processing (NLP) neural networks pattern recognition problem solving semantics signal processing social network analysis Support Vector Machines (SVM) text mining

Editors and affiliations

  1. 1.Eindhoven University of TechnologyEindhovenThe Netherlands
  2. 2.National Research University Higher School of EconomicsMoscowRussia
  3. 3.Krasovsky Institute of Mathematics and MechanicsEkaterinburgRussia
  4. 4.National Research University Higher School of EconomicsMoscowRussia
  5. 5.Skolkovo Institute of Science and TechnologyMoscowRussia
  6. 6.National Research University Higher School of EconomicsMoscowRussia
  7. 7.Moscow State UniversityMoscowRussia
  8. 8.LORIA, Campus ScientifiqueVandœuvre lès NancyFrance
  9. 9.University of HamburgHamburgGermany
  10. 10.University of FloridaGainesvilleUSA
  11. 11.National Research University Higher School of EconomicsNizhny NovgorodRussia
  12. 12.Indiana UniversityBloomingtonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-73013-4
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-73012-7
  • Online ISBN 978-3-319-73013-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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