Named-Entity Recognition

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prerequisites
intermediate Python • basics of Jupyter Notebook and NLP
skills learned
use a transformer to create a named-entity recognition tool • build a chatbot using Hugging Face library to extract entities from user messages like localizations and people
Giuliano Bertoti
1 week · 6-8 hours per week · BEGINNER
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catalog / Data Science / Machine Learning / Natural Language Processing
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In this liveProject you’ll develop a chatbot that can extract entities from user messages using the Hugging Face NLP library. Entity extraction pulls relevant data from chunks of text. Your challenges will include building a Named Entity Recognition task with the BERT transformer, and fine-tuning it to a medical context. You’ll then integrate your tasks into a chatbot.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Giuliano Bertoti
Giuliano Bertoti holds a Master of Science in Electronic Engineering and Computing from the Aeronautics Institute of Technology in Brazil. He has been a professor of Software Engineering and other computer science disciplines for 14 years and has developed several projects in the field of Artificial Intelligence.

prerequisites

This liveProject is for intermediate Python programmers with some experience in natural language processing. To begin this liveProject you will need to be familiar with:

TOOLS
  • Intermediate Python
  • Basics of Jupyter Notebook
TECHNIQUES
  • Basics of natural language processing

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