Transformers to Create Chatbots

Named-Entity Recognition you own this product

This project is part of the liveProject series Using Hugging Face Transformers to Create Chatbots

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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liveProject

$19.99

liveProject This project is part of the liveProject series Using Hugging Face Transformers to Create Chatbots liveProjects give you the opportunity to learn new skills by completing real-world challenges in your local development environment. Solve practical problems, write working code, and analyze real data—with liveProject, you learn by doing. These self-paced projects also come with full liveBook access to select books for 90 days plus permanent access to other select Manning products. $19.99 $29.99 you save: $10 (33%)

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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.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

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

you will learn

In this liveProject, you’ll learn to use the powerful Hugging Face Transformers library to create chatbots using the Named Entity Recognition (NER) natural Language Processing (NLP) task.

Build a NER NLP pipeline with a BERT transformer
Create NER NLP pipeline fine-tuned to a medication context
Integrate NER pipeline into a chatbot
Integrate medication NER pipeline into a chatbot

features

Self-paced: You choose the schedule and decide how much time to invest as you build your project.
Project roadmap: Each project is divided into several achievable steps.
Get Help: While within the liveProject platform, get help from other participants and our expert mentors.
Compare with others: For each step, compare your deliverable to the solutions by the author and other participants.
book resources: Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.