Analysis of Images, Social Networks and Texts [electronic resource] : 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected Papers /

Invited Papers -- Making ML Models Fairer through Explanations: the Case of LimeOut -- RuREBus: a Case Study of Joint Named Entity Recognition and Relation Extraction from e-Government Domain -- On Interpretability and Similarity in Concept-Based Machine Learning -- Natural Language Processing -- DaNetQA: a yes/no Question Answering Dataset for the Russian Language -- Do Topics Make a Metaphor? Topic Modeling for Metaphor Identification and Analysis in Russian -- Metagraph-Based Approach for Neural Text Question Generation -- Abstractive Summarization of Russian News Learning on Quality Media -- RST Discourse Parser for Russian: an Experimental Study of Deep Learning Models -- A Comparative Study of Feature Types for Age-Based Text Classification -- Emotion Classification in Russian: Feature Engineering and Analysis -- Generating Sport Summaries: A Case Study for Russian -- Automatic Generation of Annotated Collection for Recognition of Sentiment Frames -- ELMo and BERT in Semantic Change Detection for Russian -- BERT for Sequence-to-Sequence Multi-Label Text Classification -- Computer Vision -- Deep Learning on Point Clouds for False Positive Reduction at Nodule Detection in Chest CT Scans -- Identifying User Interests and Habits Using Object Detection and Semantic Segmentation Models -- Semi-Automatic Manga Colorization Using Conditional Adversarial Networks -- Automated Image and Video Quality Assessment for Computational Video Editing -- An Ensemble-based Classifier of Photographs of Commercial Buildings Facades -- Social Network Analysis -- Linking Friends in Social Networks using HashTag Attributes -- Emotional Analysis of Russian Texts Using Emojis in Social Networks -- Community Detection Based on the Nodes Role in a Network: the Telegram Platform Case -- Study Of Strategies For Disseminating Information In Social Networks Using Simulation Tools -- Data Analysis and Machine Learning -- Advanced Data Recognition Technique for Real-Time and Monitoring Systems -- Human Action Recognition for Boxing Training Simulator -- Bayesian Filtering in a Latent Space to Predict Bank Net Income from Acquiring -- Gradient-Based Adversarial Attacks on Categorical Sequence Models via Traversing an Embedded World -- Russia on the Global Artificial Intelligence Scene -- New Properties Of The Data Distillation Method When Working With Tabular Data -- Unsupervised Anomaly Detection for Semi-Structured Sequence Healthcare Data -- Theoretical Machine Learning and Optimization -- Lower Bound Polynomial Fast Procedure for the Resource-Constrained Project Scheduling Problem Tested on PSPLIB Instances -- Fast Approximation Algorithms for Stabbing Special Families of Line Segments with Equal Disks -- Process Mining -- Checking Conformance between Colored Petri Nets and Event Logs -- Data and Reference Semantic-Based Simulator of DB-nets with the Use of Renew Tool. .

This book constitutes revised selected papers from the 9th International Conference on Analysis of Images, Social Networks and Texts, AIST 2020, held during October 15-16, 2020. The conference was planned to take place in Moscow, Russia, but changed to an online format due to the COVID-19 pandemic. The 27 full papers and 4 short papers presented in this volume were carefully reviewed and selected from a total of 108 qualified submissions. The papers are organized in topical sections as follows: invited papers; natural language processing; computer vision; social network analysis; data analysis and machine learning; theoretical machine learning and optimization; and process mining. .