Foundation Models for Natural Language Processing Pre-trained Language Models Integrating Media /

Foundation Models for Natural Language Processing Pre-trained Language Models Integrating Media /

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This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a revolutionary new paradigm has been developed for tra...

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Bibliographic Details
Main Authors: Paaß, Gerhard (Author), Giesselbach, Sven (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2023.
Edition:1st ed. 2023.
Series:Artificial Intelligence: Foundations, Theory, and Algorithms,
Subjects:
Natural language processing (Computer science).
Computational linguistics.
Artificial intelligence.
Expert systems (Computer science).
Machine learning.
Natural Language Processing (NLP).
Computational Linguistics.
Artificial Intelligence.
Knowledge Based Systems.
Machine Learning.
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Table of Contents:
  • 1. Introduction
  • 2. Pre-trained Language Models
  • 3. Improving Pre-trained Language Models
  • 4. Knowledge Acquired by Foundation Models
  • 5. Foundation Models for Information Extraction
  • 6. Foundation Models for Text Generation
  • 7. Foundation Models for Speech, Images, Videos, and Control
  • 8. Summary and Outlook.

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