Analysis of Images, Social Networks and Texts : 11th International Conference, AIST 2023, Yerevan, Armenia, September 28–30, 2023, Revised Selected Papers / edited 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.

Format:

Book

Contributor:

Ignatov, Dmitry I., editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 14486

Language:

English

Subjects (All):

Data mining.

Machine learning.

Database management.

Natural language processing (Computer science).

Information storage and retrieval systems.

Application software.

Data Mining and Knowledge Discovery.

Machine Learning.

Database Management.

Natural Language Processing (NLP).

Information Storage and Retrieval.

Computer and Information Systems Applications.

Local Subjects:

Data Mining and Knowledge Discovery.

Machine Learning.

Database Management.

Natural Language Processing (NLP).

Information Storage and Retrieval.

Computer and Information Systems Applications.

Physical Description:

1 online resource (376 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

This 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. .

Contents:

Invited Paper: Threatening Expression and Target Identification in under-resource languages using NLP Techniques

Natural Language Processing: Benchmarking Multi-Label Topic Classification 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 Classifiers: Controllable Text Generation for Text Style Transfer

Less than Necessary or More than Sufficient: 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 Classification 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 Canfield Right? On the Asymptotic Coefficients for the Maximum Antichain of Partitions and Related Counting Inequalitie.

Notes:

Includes bibliographical references and index.

ISBN:

9783031545344

3031545346