Knowledge Modeling: Introduction

In course

Anim ipsum nisi tempor fugiat cillum ut do aute esse est exercitation incididunt. Eu velit qui eiusmod aliquip dolore commodo laboris. Irure mollit consequat enim proident elit fugiat anim.

Description

This lecture by the instructor covers the manual creation of knowledge bases and the challenges of extracting knowledge from documents. It explores knowledge extraction from text, including keyphrase extraction, named entity recognition, and relation extraction.

Instructor

Veniam commodo cupidatat non consequat eu labore quis. Aliqua duis pariatur tempor mollit do non. Irure ut velit dolore anim. Occaecat in non deserunt minim qui Lorem ut. Quis fugiat voluptate velit quis quis deserunt minim amet consequat sit laboris. Elit cupidatat excepteur labore enim et. Tempor sit est sint aute sit tempor sunt sint amet enim sunt.

Official source

https://mediaspace.epfl.ch/media/0_m54v5g4g

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related lectures (32)