Magajna Natural Language Processing with Flair

A practical guide to understanding and solving NLP problems with Flair
1. Auflage 2022
ISBN: 978-1-80107-223-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 200 Seiten

No detailed description available for "Natural Language Processing with Flair".

Autoren/Hrsg.

Magajna, Tadej

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Business Application Textverarbeitung

Inhaltsverzeichnis

Table of Contents - Introduction to Flair
- Flair Base Types
- Embeddings in Flair
- Sequence Tagging
- Training Sequence Labeling Models
- Hyperparameter Optimization in Flair
- Training Your Own Embeddings
- Text Classification in Flair
- Deploying and Using Models in Production
- Hands-on exercise

Über Autor(innen)

Magajna Tadej:
Tadej Magajna is a former lead machine learning engineer, former data scientist, master of Computer Science and now a software engineer at Microsoft. He currently works in a team responsible for language model training and building language packs for keyboards. He started his career as a 15-year-old at a local media company as a web developer and progressed towards more complex engineering and machine learning problems. He tackled problems like NLP market research, public transport bus and train capacity forecasting and finally language model training at his current role. Today, he is based in his hometown Ljubljana, Slovenia.