|
ИСТИНА |
Войти в систему Регистрация |
ИСТИНА ПсковГУ |
||
Does Annotating Multi-Spans Improve Classification in Considerable Text Collections?статья
Информация о цитировании статьи получена из
Дата последнего поиска статьи во внешних источниках: 8 октября 2025 г.
- Авторы: Maysuradze Archil, Rink Olga, Fedorov Artem, Tabachenkov Andrey, Vorontsov Konstantin
- Сборник: 2024 10th International Conference on Systems and Informatics (ICSAI)
- Серия: International Conference on Systems and Informatics
- Год издания: 2024
- Место издания: IEEE
- Первая страница: 1
- Последняя страница: 6
- Номер статьи: 10893762
- DOI: 10.1109/icsai65059.2024.10893762
- Аннотация: The Universal data markup structures empower the annotation of multiple text fragments (multi-spans or multi-fragments furthermore) to analyze large collections of content. Multi-spans have demonstrated helpful in tackling issues related to the programmed discovery of semantic blunders in school essays or human values in social media writings. Labeling multi-fragment information has made it conceivable to form an interdisciplinary classification of human values. This classifier consists of 105 labels grouped into 7 categories, and a corresponding dataset has been created. Subsequent ML experiments have been designed to demonstrate the effectiveness of the multi-spans structure in recovering annotations of human values. The accuracy of the multi-fragment detector is 0.943 for material values and 0.957 for legal awareness (a subject of civic engagement and citizenship).
- Добавил в систему: Майсурадзе Арчил Ивериевич