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Grokking the Machine Learning Interview

Problem Statement

Explore the fundamental components of an entity linking system, including named entity recognition and disambiguation. Understand how to link entity mentions in text to their correct counterparts in a knowledge base, and discover key applications and typical interview questions on this topic.

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Introduction

Named entity linking (NEL) is the process of detecting and linking entity mentions in a given text to corresponding entities in a target knowledge base.

There are two parts to entity linking:

  1. Named-entity recognition

    Named-entity recognition (NER) detects and classifies potential named entities in the text into predefined categories such as a person, organization, location, medical code, time expression, etc. (multi-class prediction).

  2. Disambiguation

    Next, disambiguation disambiguates each detected entity by linking it to its corresponding entity in the knowledge base. ...