Automatic Question Generation
Produktnummer:
189363b7890d764a76b6fcc9836b8bc525
| Autor: | Flor, Michael |
|---|---|
| Themengebiete: | Automatic Question Generation Data Augmentation Methods Human-Computer Studies Machine Learning Natural Language Generation Ontologies and Taxonomies |
| Veröffentlichungsdatum: | 12.07.2025 |
| EAN: | 9783031920721 |
| Sprache: | Englisch |
| Seitenzahl: | 180 |
| Produktart: | Unbekannt |
| Verlag: | Springer International Publishing |
Produktinformationen "Automatic Question Generation"
This book provides an overview of the fundamentals of Automatic Question Generation (AQG) for computational linguistics researchers, test developers, and educators. The author presents a variety of AQG system architectures, including generating questions from syntactic analyses, semantic resources, neural architectures, ontologies and knowledge graphs, and large language models. The advantages and pitfalls of a variety of AQG evaluation methods, including multi-aspect ratings by human experts, end-users, as well as crowd-sourcing and automatic evaluation techniques are discussed. The book also provides a roadmap of options for AQG targeted orientation, content selection, and focusing decisions. Machine learning opportunities for training systems to generate questions based on human-generated examples are also explored. This book offers greater depth and breadth than previous surveys of AQG. Readers will gain a comprehensive knowledge of current research, examples of applications of AQG, and inspiration for future directions for innovation and application.
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