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E-grāmata: Recent Trends in Analysis of Images, Social Networks and Texts: 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021, Revised Selected Papers

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This book constitutes revised selected papers of the 10th International Conference on Analysis of Images, Social Networks and Texts, AIST 2021, held in Tbilisi, Georgia, in December 2021. Due to the COVID-19 pandemic the conference was held in hybrid mode. 

The 17 full papers were carefully reviewed and selected from 118 submissions, out of which 92 were sent to peer review. The papers are organized in topical sections on ?natural language processing; computer vision; data analysis and machine learning; social network analysis; theoretical machine learning and optimisation.
Natural Language Processing.- Call Larisa Ivanovna: Code-Mixing Fools
Multilingual NLU Models.- Extracting Software Requirements from Unstructured
Documents.- Continuous Prompt Tuning for Russian: How to Learn
Prompts Efficiently with RuGPT3?.- An Intelligent Web-Service for Automatic
Concept Map Generation.- Language-Free Regular Expression Search of
Document's References.- Does BERT Look at Sentiment Lexicon?.- Context-Based
Text-Graph Embeddings in Word-Sense Induction tasks.- Computer
Vision.- Analysis of Thresholding Methods for the Segmentation of Brain
Vessels.- Transformer-based Deep Reinforcement Learning in VizDoom.- Text
CAPTCHA Traversal via Knowledge Distillation of Convolutional Neural
Networks: Exploring the Impact of Color Channels Selection.- Data Analysis
and Machine Learning.- Dropout Strikes Back: Improved Uncertainty Estimation
via Diversity Sampling.- Learning to Generate Synthetic Training Data using
Gradient Matching and Implicit Differentiation.- Social Network
Analysis.- Agent-Based Model for Estimation of Collective Emotions in
Social Networks.- A method for identifying bridges in online social
networks.- Theoretical Machine Learning and Optimisation.- On the
Pareto-Optimal Solutions in the Multimodal Clustering Problem.- On Several
Edge-Disjoint MSTs with Given Diameter in Undirected Graph with Exponentially
Distributed Edge Weights.- Neural Architecture Search with Structure
Complexity Control.