| Vol-2566 urn:nbn:de:0074-2566-1 Copyright © 2019 for the individual papers by the papers' authors. Copyright © 2019 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

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

### Proceedings of the Masters Symposium on Advances in Data Mining, Machine Learning, and Computer Vision

### Lviv, Ukraine, November 15-16, 2019.

Edited by

### Vadim Ermolayev *
Oleksii Molchanovskyi **
Yaroslav Prytula **

* Zaporizhzhia National University, Dept of Computer Science, 69600 Zaporizhzhia, Ukraine
** Ukrainian Catholic University, Faculty of Applied Sciences, 79011 Lviv, Ukraine

## 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

2010-02-01: submitted by Vadim Ermolayev, metadata incl. bibliographic data published under Creative Commons CC0
2020-03-03: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|