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Mastering spaCy

You're reading from   Mastering spaCy Build structured NLP solutions with custom components and models powered by spacy-llm

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Product type Paperback
Published in Feb 2025
Publisher Packt
ISBN-13 9781835880463
Length 238 pages
Edition 2nd Edition
Languages
Tools
Concepts
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Authors (2):
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Déborah Mesquita Déborah Mesquita
Author Profile Icon Déborah Mesquita
Déborah Mesquita
Duygu Altınok Duygu Altınok
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Duygu Altınok
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1: Getting Started with spaCy
2. Chapter 1: Getting Started with spaCy FREE CHAPTER 3. Chapter 2: Core Operations with spaCy 4. Part 2: Advanced Linguistic and Semantic Analysis
5. Chapter 3: Extracting Linguistic Features 6. Chapter 4: Mastering Rule-Based Matching 7. Chapter 5: Extracting Semantic Representations with spaCy Pipelines 8. Chapter 6: Utilizing spaCy with Transformers 9. Part 3: Customizing and Integrating NLP Workflows
10. Chapter 7: Enhancing NLP Tasks Using LLMs with spacy-llm 11. Chapter 8: Training an NER Component with Your Own Data 12. Chapter 9: Creating End-to-End spaCy Workflows with Weasel 13. Chapter 10: Training an Entity Linker Model with spaCy 14. Chapter 11: Integrating spaCy with Third-Party Libraries 15. Index 16. Other Books You May Enjoy

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

Symbols

@Language.factory decorator 96

A

accusative case 46

Amazon Fine Food Reviews dataset

reference link 108

Anthropic’s Claude 2 model 134

API

building, for NLP models with FastAPI 199

creating, for spaCy model with FastAPI 200-207

aspect 41

ATIS dataset 84, 85

B

Bidirectional Encoder Representations from Transformers (BERT) 103, 108, 121, 122

architecture 122-124

input format 124-126

C

ChatGPT 5

child 43

community cloud feature

reference link 194

components 14

Conditional Random Field (CRF) 51

container classes 13

custom corpus reader

training with 188-190

custom spacy-llm tasks

creating 136-141

D

data

annotating, with nertk 148-150

annotating, with Prodigy 147, 148

data leakage 153

data...

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Tech Concepts
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Programming languages
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