Training a custom ENTITY LINKING model with spaCy

spaCy is an open-source library for advanced Natural Language Processing in Python. In this video, we show you how to create a custom Entity Linking model in spaCy to disambiguate different mentions of the person "Emerson" to unique identifiers in a knowledge base. We accomplish this by training a machine learning model on some text annotated from scratch with Prodigy. You can follow along in this notebook: https://github.com/explosion/projects... STEP BY STEP 00:00 – Introduction to the Entity Linking challenge 04:52 – Set up the knowledge base 10:30 – Annotate training data with Prodigy 19:19 – Parse the training data into the required format for spaCy 23:12 – Create and train the Entity Linking component 25:36 – Test the EL component on unseen data SPACY & PRODIGY ● spaCy: https://spacy.io ● Free online course: https://course.spacy.io ● Prodigy website & docs: https://prodi.gy THIS TUTORIAL ● Code & data: https://github.com/explosion/projects... ● Entity linking in spaCy (spaCy IRL talk):    • Sofie Van Landeghem: Entity linking functi...   ● Entity linking docs: https://spacy.io/usage/training#entit... FOLLOW US ● Sofie Van Landeghem:   / oxykodit   ● Explosion:   / explosion_ai