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Full Description
This book constitutes the refereed proceedings of the 12th International Conference on Analysis of Images, Social Networks and Texts, AIST 2024, held in Bishkek, Kyrgyzstan, during October 17-19, 2024.
The 16 full papers included in this book were carefully reviewed and selected from 70 submissions. They were organized in topical sections as follows: Natural Language Processing; Computer Vision; Data Analysis and Machine Learning; and Theoretical Machine Learning and Optimization.
Contents
.- Keynote and Invited Papers.
.- KyrgyzNLP: Challenges, Progress, and Future.
.- Modeling Information Influence and Control in Social Networks: Integrating Opinions, Trust, Reputation, and Agent Dynamics.
.- Natural Language Processing.
.- Graphical Abbreviation Disclosure in Russian Language.
.- Iterative Improvement of an Additively Regularized Topic Model.
.- Key Algorithms for Keyphrase Generation: Instruction-Based LLMs for Russian Scientific Keyphrases.
.- Shrink the longest: improving latent space isotropy with simplicial geometry.
.- Redefining Annotation Practices: Leveraging Large Language Models for Discourse Annotation.
.- GERA: a corpus of Russian school texts annotated for Grammatical Error Correction.
.- From Tokens to Tales: Semantic Similarity in Story Generation.
.- Cross-Language Summarization in Russian and Chinese Using the Reinforcement Learning.
.- Computer Vision.
.- Temporal Modeling via TCN and Transformer for Audio-Visual Emotion Recognition.
.- YOLO-HTR: Page-Level Recognition of Historical Handwritten Document Collections.
.- Data Analysis and Machine Learning.
.- An optimal set of implications in triadic contexts.
.- Uniting contrastive and generative learning for event sequences models.
.- Theoretical Machine Learning and Optimization.
.- An asymptotically optimal algorithm for the minimum weight spanning tree with arbitrarily bounded diameter on random inputs.
.- Automatic Adaptive Conformal Inference for Time Series Forecasting.
