A pratical guide to hybrid natural Language processing : combining neural models and knowledge graphs for NLP /
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.
| Main Author: | Gomez-Perez, Jose Manuel |
|---|---|
| Other Authors: | Denaux, Ronald, Garcia-Silva, Andres |
| Format: | Book |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
2020.
|
| Subjects: | |
| Classic Catalogue: | View this record in Classic Catalogue |
Similar Items
-
Transformers for natural language processing : build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more /
by: Rothman, Denis
Published: (2021) -
NLP-based AI robot for intelligent interaction
by: Dastagir, Golam, et al.
Published: (2024) -
Fundamentals of artificial neural networks /
by: Hassoun, Mohamad H.
Published: (1995) -
AI engineering : building applications with foundation models /
by: Huyen, Chip
Published: (2025) -
Artificial neural network modelling /
Published: (2016)