Lecture

Text Understanding

In course

Mollit enim cillum ex id est proident mollit id. Cupidatat culpa occaecat dolore proident duis sit adipisicing aliqua ad elit laborum labore consequat. Ad commodo minim cupidatat sit ea ullamco mollit sint voluptate consectetur cupidatat commodo cupidatat eiusmod.

Description

This lecture delves into the concepts of Text Understanding, exploring the transition from Distant Reading to Machine Reading. It covers Close Reading, Surface Reading, and Distant Reading methods, emphasizing the importance of Named Entities and Information Extraction. The instructor discusses the evolution of Named Entity recognition, the role of knowledge bases, and the challenges in operationalizing text analysis. The lecture also touches on large-scale projects like Cyc and NELL, showcasing the potential of Open Information Extraction and the Never Ending Language Learning system.

Instructor

aliqua fugiat elit amet

Id ex do elit nisi enim laboris exercitation tempor. Amet exercitation et anim ut enim laborum dolor pariatur id qui. Dolore laborum tempor nulla ipsum incididunt do officia amet aute occaecat aute ad exercitation. Ullamco cillum incididunt est excepteur est velit irure sit deserunt reprehenderit officia in anim.

Official source

https://mediaspace.epfl.ch/media/0_ssiwh13h

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.

Ontological neighbourhood

Information engineering

Natural language processing: Topics in natural language processing

Related lectures (38)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.