Machine-Learned Computational Models Can Enhance the Study of Text and Discourse: A Case Study Using Eye Tracking to Model Reading Comprehension-Reference-Cited by-同舟云学术

Machine-Learned Computational Models Can Enhance the Study of Text and Discourse: A Case Study Using Eye Tracking to Model Reading Comprehension

Published:2020-04-03 Issue:5-6 Volume:57 Page:420-440
ISSN:0163-853X
Container-title:Discourse Processes
language:en
Short-container-title:Discourse Processes

Author:

D’Mello Sidney K.¹,Southwell Rosy¹,Gregg Julie¹

Affiliation:

1. Institute of Cognitive Science, University of Colorado Boulder

Funder

National Science Foundation

Publisher

Informa UK Limited

Subject

Linguistics and Language,Language and Linguistics,Communication

Link

https://www.tandfonline.com/doi/pdf/10.1080/0163853X.2020.1739600

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