Analysis of Images, Social Networks and Texts, Kartoniert / Broschiert
Analysis of Images, Social Networks and Texts
- 12th International Conference, AIST 2024, Bishkek, Kyrgyzstan, October 17-19, 2024, Revised Selected Papers
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Alexander Panchenko, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina, Aida Kasieva, Dmitry I. Ignatov, Dmitry Gubanov, Michael Khachay, Andrey Kutuzov, Natalia Loukachevitch, Andrey Kuznetsov, Irina Nikishina, Maxim Panov, Panos M. Pardalos
- Verlag:
- Springer, 07/2025
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9783031970184
- Artikelnummer:
- 12349343
- Umfang:
- 184 Seiten
- Gewicht:
- 289 g
- Maße:
- 235 x 155 mm
- Stärke:
- 11 mm
- Erscheinungstermin:
- 3.7.2025
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Analysis of Images, Social Networks and Texts |
Preis |
---|---|
Buch, Kartoniert / Broschiert, Englisch | EUR 186,19* |
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.
