Buch, Englisch, 175 Seiten, Hardback, Format (B × H): 191 mm x 235 mm
Theory and Advances in Vector Representations of Meaning
Buch, Englisch, 175 Seiten, Hardback, Format (B × H): 191 mm x 235 mm
Reihe: Synthesis Lectures on Human Language Technologies
ISBN: 978-1-63639-023-9
Verlag: Morgan & Claypool Publishers
This book provides a high-level synthesis of the main embedding techniques in NLP, in the broad sense. The book starts by explaining conventional word vector space models and word embeddings (e.g., Word2Vec and GloVe) and then moves to other types of embeddings, such as word sense, sentence and document, and graph embeddings. The book also provides an overview of recent developments in contextualized representations (e.g., ELMo and BERT) and explains their potential in NLP.
Throughout the book, the reader can find both essential information for understanding a certain topic from scratch and a broad overview of the most successful techniques developed in the literature.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
- Preface
- Introduction
- Background
- Word Embeddings
- Graph Embeddings
- Sense Embeddings
- Contextualized Embeddings
- Sentence and Document Embeddings
- Ethics and Bias
- Conclusions
- Bibliography
- Authors' Biographies