Learning from text and animations: a study into the need for cross-representational signaling

2021 ◽  
Vol Vol. 121 (4) ◽  
pp. 393-416
Author(s):  
Juliette C. Désiron ◽  
Mireille Bétrancourt ◽  
Erica de Vries
Keyword(s):  
Learning From Text

Determinants of Learning From Text: The Roles of Reader and Text Characteristics

2007 ◽  
Author(s):  
Nicole Moon ◽  
David Z. Hambrick ◽  
Erik M. Altmann
Keyword(s):  
Learning From Text

Amazing Stories: Does Fictionality Matter in Learning From Text?

2007 ◽  
Author(s):  
Daniel Slaten ◽  
David N. Rapp ◽  
William S. Horton
Keyword(s):  
Learning From Text

Generative and Passive Questions in Learning from Text

1980 ◽  
Vol 51 (3) ◽  
pp. 714-714 ◽  
Author(s):  
Anthony M. Owens
Keyword(s):  
Learning From Text

Parsing

2017 ◽  
Author(s):  
John Carroll
Keyword(s):  
Natural Language ◽  
Dependency Parsing ◽  
Grammatical Structure ◽  
Linguistic Information ◽  
Natural Language Parsing ◽  
Feature Structures ◽  
Key Concepts ◽  
Learning From Text ◽  
Dependency Structures ◽  
Context Free

This chapter introduces key concepts and techniques for natural-language parsing: that is, finding the grammatical structure of sentences. The chapter introduces the fundamental algorithms for parsing with context-free (CF) phrase structure grammars, how these deal with ambiguous grammars, and how CF grammars and associated disambiguation models can be derived from syntactically annotated text. It goes on to consider dependency analysis, and outlines the main approaches to dependency parsing based both on manually written grammars and on learning from text annotated with dependency structures. It finishes with an overview of techniques used for parsing with grammars that use feature structures to encode linguistic information.

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