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Problem Statement

Explore how to design a named entity linking system that detects entity mentions in text and accurately links them to entries in a knowledge base. Understand the components of named entity recognition and disambiguation, practical applications, and common interview questions related to building and evaluating such systems.

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 ...