Building a Scalable AI Chatbot #5: Named Entity Recognition
Tutorials by Asir Saeed, Machine Learning Research Engineer at Bespoke Inc. and one of the Community Leads at MLT. / the_asir
Find code and presentation slides here: https://github.com/bespoke-inc/bespok...
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In this workshop, we will learn how to make a retrieval-based chatbot in a modular fashion using an array of techniques from using rules with regular expressions to more modern deep learning methods such as using large pre-trained language models. We will look at practical challenges, maintaining conversation context, correcting user typos, and extracting parameters using named entity recognition.
We will use sci-kit-learn, PyTorch, fastai, transformers, and spaCy libraries. Participants are expected to have some experience with these tools.
This tutorial will follow a top-down approach. We will start by looking at using higher-level APIs to quickly prototype a solution and slowly dig deeper into the inner workings.
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