|
| Der Artikel wird am Ende des Bestellprozesses zum Download zur Verfügung gestellt. |
A Practical Guide to Hybrid Natural Language Processing
Combining Neural Models and Knowledge Graphs for NLP
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9783030448301
Veröffentl:
2020
Seiten:
268
Autor:
Jose Manuel Gomez-Perez
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:
This book provides readers with a practical guide to the principles of hybrid approaches to natural language processing (NLP) involving a combination of neural methods and knowledge graphs. To this end, it first introduces the main building blocks and then describes how they can be integrated to support the effective implementation of real-world NLP applications. To illustrate the ideas described, the book also includes a comprehensive set of experiments and exercises involving different algorithms over a selection of domains and corpora in various NLP tasks.
Part I: Preliminaries and Building Blocks.- Hybrid Natural Language Processing: An Introduction.- Word, Sense, and Graph Embeddings.- UnderstandingWord Embeddings and Language Models.- Capturing Meaning from Text asWord Embeddings.- Capturing Knowledge Graph Embeddings.- Part II: Combining Neural Architectures and Knowledge Graphs.- Building Hybrid Representations from Text Corpora, Knowledge Graphs, and Language Models.- Quality Evaluation.- Capturing Lexical, Grammatical, and Semantic Information with Vecsigrafo.- Aligning Embedding Spaces and Applications for Knowledge Graphs.- Part III: Applications.- A Hybrid Approach to Disinformation Analysis.- Jointly Learning Text and Visual Information in the Scientific Domain.- Looking into the Future of Natural Language Processing.
Kunden Rezensionen
Mehr zum Thema
Folgen Sie uns auf:
