Reprint
Natural Language Engineering: Methods, Tasks and Applications
Edited by
April 2022
112 pages
- ISBN978-3-0365-3740-5 (Hardback)
- ISBN978-3-0365-3739-9 (PDF)
This book is a reprint of the Special Issue Natural Language Engineering: Methods, Tasks and Applications that was published in
Computer Science & Mathematics
Summary
This Special Issue highlights the most recent research being carried out in the field of NLP methods to face these open issues, with particular emphasis on emerging approaches for learning interactively or autonomously from data, single and multiple language understanding and grounding for analysis and generation, as well as potential or real applications in different domains and everyday devices.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
computational creativity; computational narrative; natural language generation; autonomous text generation; receptive theory; chance discovery; NLP; machine learning; deep learning; AI; human-in-the-loop; academic resource; attention; association features; content attributes; classification; natural language processing; medical records; privacy protection; synthetic text; generative language models; named-entity recognition; natural language generation; natural language processing; text classification; mining information; Tweet data; social media; datasets; neural networks; semantic models; Amharic NLP; low-resource language; text tagging; n/a