Can We Be Wrong? The Problem of Textual Evidence in a Time of Data

Autori

• Andrew Piper

Parametri

• 75 pagine
• 3 ore di lettura

• Computer, IT, programmazione
• Tecnologia e Ingegneria

Maggiori informazioni sul libro

This Element combines a machine learning-based approach to detect the prevalence and nature of generalization across tens of thousands of sentences from different disciplines alongside a robust discussion of potential solutions to the problem of the generalizability of textual evidence.

Lingua: Inglese

Pubblicato: 2020

(In brossura)