LEADER 05953nam 22008055 450 001 9910845094503321 005 20240319221658.0 010 $a3-031-54534-6 024 7 $a10.1007/978-3-031-54534-4 035 $a(MiAaPQ)EBC31222011 035 $a(Au-PeEL)EBL31222011 035 $a(DE-He213)978-3-031-54534-4 035 $a(EXLCZ)9930995703600041 100 $a20240319d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnalysis of Images, Social Networks and Texts$b[electronic resource] $e11th International Conference, AIST 2023, Yerevan, Armenia, September 28?30, 2023, Revised Selected Papers /$fedited by Dmitry I. Ignatov, Michael Khachay, Andrey Kutuzov, Habet Madoyan, Ilya Makarov, Irina Nikishina, Alexander Panchenko, Maxim Panov, Panos M. Pardalos, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina, Sergey Zagoruyko 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (376 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14486 311 $a3-031-54533-8 327 $aInvited Paper: Threatening Expression and Target Identi?cation in under-resource languages using NLP Techniques -- Natural Language Processing: Benchmarking Multi-Label Topic Classi?cation in Kyrgyz Language -- Transformers compression: A study of matrix decomposition methods using Fisher information -- Leveraging Lexical Taxonomy Data in Large Language Models for Hyponymy Prediction -- Content selection in abstractive summarization with biased encoder mixtures -- RuCAM: Comparative Argumentative Machine for the Russian Language -- Paraphrasers and Classi?ers: Controllable Text Generation for Text Style Transfer -- Less than Necessary or More than Su?cient: Validating Probing Dataset Size -- Unsupervised Ultra-Fine Entity Typing with Distributionally Induced Word Senses -- Static, dynamic, or contextualized: what is the best approach for discovering semantic shifts in Russian media? -- Controllable Story Generation Based on Perplexity Minimization -- Automatic Detection of Dialectal Features of Pskov Dialects in the Speech of Native Speakers -- Needle in a Haystack: Finding Suitable Idioms Based on Text Descriptions -- Computer Vision: DeepLOC: Deep Learning-based Bone Pathology Localization and Classi?cation in Wrist X-ray Images -- MiVOLO: Multi-input Transformer for Age and Gender Estimation -- Handwritten Text Recognition and Browsing in Archive of Prisoners? Letters from Smolensk Convict Prison -- Greedy Algorithm for Fast Finding Curvilinear Symmetry of Binary Raster Images.-Data Analysis and Machine Learning: Ensemble Clustering with Heterogeneous Transfer Learning -- Detecting design patterns in Android applications with CodeBERT embeddings and CK metrics -- Metamorphic testing for recommender systems -- Application of Dynamic Graph CNN* and FICP for Detection and Research Archaeology Sites -- Network Analysis: Visualization-Driven Graph Sampling Strategy for Exploring Large-Scale Networks -- Limit Distributions of Friendship Index in Scale-Free Networks -- Theoretical Machine Learning and Optimization: The Problem of Finding Several Given Diameter Spanning Trees of Maximum Total Weight in a Complete Graph -- Is Can?eld Right? On the Asymptotic Coe?cients for the Maximum Antichain of Partitions and Related Counting Inequalitie. 330 $aThis book constitutes revised selected papers from the thoroughly refereed proceedings of the 11th International Conference on Analysis of Images, Social Networks and Texts, AIST 2023, held in Yerevan, Armenia, during September 28-30, 2023. The 24 full papers included in this book were carefully reviewed and selected from 93 submissions. They were organized in topical sections as follows: natural language processing; computer vision; data analysis and machine learning; network analysis; and theoretical machine learning and optimization. The book also contains one invited talk in full paper length. . 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14486 606 $aData mining 606 $aMachine learning 606 $aDatabase management 606 $aNatural language processing (Computer science) 606 $aInformation storage and retrieval systems 606 $aApplication software 606 $aData Mining and Knowledge Discovery 606 $aMachine Learning 606 $aDatabase Management 606 $aNatural Language Processing (NLP) 606 $aInformation Storage and Retrieval 606 $aComputer and Information Systems Applications 615 0$aData mining. 615 0$aMachine learning. 615 0$aDatabase management. 615 0$aNatural language processing (Computer science). 615 0$aInformation storage and retrieval systems. 615 0$aApplication software. 615 14$aData Mining and Knowledge Discovery. 615 24$aMachine Learning. 615 24$aDatabase Management. 615 24$aNatural Language Processing (NLP). 615 24$aInformation Storage and Retrieval. 615 24$aComputer and Information Systems Applications. 676 $a006.312 700 $aIgnatov$b Dmitry I$01733492 701 $aKhachay$b Michael$01369710 701 $aKutuzov$b Andrey$01733493 701 $aMadoyan$b Habet$01733494 701 $aMakarov$b Ilya$01733495 701 $aNikishina$b Irina$01733496 701 $aPanchenko$b Alexander$01733497 701 $aPanov$b Maxim$01733498 701 $aPardalos$b Panos M$0318341 701 $aSavchenko$b Andrey V$0756076 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910845094503321 996 $aAnalysis of Images, Social Networks and Texts$94149344 997 $aUNINA