Analysis of Images, Social Networks and Texts

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Details

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 1719, 2024.

The 12 papers included in this book were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: natural language processing; computer vision; and data analysis and machine learning.


Klappentext

Natural Language Processing.- Leveraging Large Language Models in Code Question Answering: Baselines and Issues.- Structured Data from Dictionary Text: Applying LLMs for Low-Resource Cross-Lingual Information Extraction.- Annotation of Greeting and Introduction in Russian Spoken Dialogues Using ISO 24617-2:2020.- Comparative Analysis of Encoder-Based NER and Large Language Models for Skill Extraction from Russian Job Vacancies.- Computational Linguistics and Pedagogy: Exploring Lexical Patterns of School Teachers.- Research on Content Dissemination in Social Networks Taking into Account Users’ Influence Potential.- MoRAE: Movie Review Dataset for Aspect Extraction.- Diagnosis of the Severity of Depression Using Speech Recording Analysis.- RuCLEVR: A Russian Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning.- Computer Vision.- Efficient Detection of Small-Scale Microorganisms in Microscopic Photography.- Deep Learning Approach for Offline Nepali Handwritten Word Recognition.- Data Analysis and Machine Learning.- Evaluating Deep Learning-Based Speaker Verification Systems: A Comparative Study Across Open-Source and Forensic Datasets.


Inhalt

Natural Language Processing.- Leveraging Large Language Models in Code Question Answering: Baselines and Issues.- Structured Data from Dictionary Text: Applying LLMs for Low-Resource Cross-Lingual Information Extraction.- Annotation of Greeting and Introduction in Russian Spoken Dialogues Using ISO 24617-2:2020.- Comparative Analysis of Encoder-Based NER and Large Language Models for Skill Extraction from Russian Job Vacancies.- Computational Linguistics and Pedagogy: Exploring Lexical Patterns of School Teachers.- Research on Content Dissemination in Social Networks Taking into Account Users' Influence Potential.- MoRAE: Movie Review Dataset for Aspect Extraction.- Diagnosis of the Severity of Depression Using Speech Recording Analysis.- RuCLEVR: A Russian Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning.- Computer Vision.- Efficient Detection of Small-Scale Microorganisms in Microscopic Photography.- Deep Learning Approach for Offline Nepali Handwritten Word Recognition.- Data Analysis and Machine Learning.- Evaluating Deep Learning-Based Speaker Verification Systems: A Comparative Study Across Open-Source and Forensic Datasets.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031970184
    • Genre Information Technology
    • Editor Alexander Panchenko, Dmitry Gubanov, Michael Khachay, Andrey Kutuzov, Natalia Loukachevitch, Andrey Kuznetsov, Irina Nikishina, Maxim Panov, Panos M. Pardalos, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina, Aida Kasieva, Dmitry I. Ignatov
    • Lesemotiv Verstehen
    • Anzahl Seiten 166
    • Größe H235mm x B155mm
    • Jahr 2025
    • EAN 9783031970184
    • Format Kartonierter Einband
    • ISBN 978-3-031-97018-4
    • Veröffentlichung 03.07.2025
    • Titel Analysis of Images, Social Networks and Texts
    • Untertitel 12th International Conference, AIST 2024, Bishkek, Kyrgyzstan, October 1719, 2024, Revised Selected Papers
    • Herausgeber Springer
    • Sprache Englisch

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