MS-AMLV 2019
Masters Symposium on Advances in Data Mining, Machine Learning, and Computer Vision

Table of Contents

• Preface
  
  
• Committees, Sponsors, and Organizers
  
  

Session I: Keynote

• Fitting Machine Translation into Clients 1
  Kenneth Heafield

Session II: Advances in Computer Vision

• 3D Reconstruction of 2D Sign Language Dictionaries 2-9
  Roman Riazantsev, Maksym Davydov
• Generation of Memes to Engage Audience in Social Media 10-20
  Andrew Kurochkin, Kostiantyn Bokhan
• Investigation of Complex Data Distributions for their Efficient Generation 21-28
  Philipp Kofman, Oles Dobosevych, Rostyslav Hryniv
• Image Recommendation for Wikipedia Articles 29-39
  Oleh Onyshchak, Miriam Redi

Session III: Advances in Natural Language Text Processing, Mining, Knowledge Extraction

• Toward a Theoretical Framework of Terminological Saturation for Ontology Learning from Texts 40-51
  Victoria Kosa, Vadim Ermolayev
• Parameterizing Human Speech Generation 52-58
  Nazariy Perepichka
• Building a Feature Taxonomy of the Terms Extracted from a Text Collection 59-70
  Svitlana Moiseyenko, Alexander Vasileyko, Vadim Ermolayev
• Toward Language Modelling for Ukrainian Language 71-80
  Anastasiia Khaburska, Igor Tytyk
• Context-Based Question-Answering System for the Ukrainian Language 81-88
  Serhii Tiutiunnyk, Vsevolod Dyomkin
• Topological Approach to Wikipedia Page Recommendation 89-97
  Maksym Opirskyi, Petro Sarkanych
• Enhancing Controllability of Text Generation 98-105
  Anton Shcherbyna, Kostiantyn Omelianchuk
• Determining Sentiment and Important Properties of Ukrainian Language User Reviews 106-114
  Dmytro Babenko, Vsevolod Dyomkin
• Matching Red Links with Wikidata Items 115-124
  Kateryna Liubonko, Diego Saez-Trumper