Knowledge Representation in TOEFL Expository Texts



Document title: Knowledge Representation in TOEFL Expository Texts
Journal: Computación y sistemas
Database:
System number: 000560477
ISSN: 1405-5546
Authors: 1
1
1
2
Institutions: 1Benemérita Universidad Autónoma de Puebla, Facultad de Ciencias de la Computación, Puebla. México
2Instituto Nacional de Astrofísica Óptica y Electrónica, Computer Science Department, Tonantzintla, Puebla. México
Year:
Season: Abr-Jun
Volumen: 24
Number: 2
Pages: 511-522
Country: México
Language: Inglés
Document type: Artículo
English abstract Reading comprehension in the English language is a process that has been studied from different disciplines. Many postgraduate programs require certification in another language, hence the importance of seeking semantic patterns that allow the creation of intelligent tools to train students in these tasks. The objective of this work is to characterize expository passages semantic structures through FOL and situation calculus with the question-answer block.
Disciplines: Ciencias de la computación
Keyword: Inteligencia artificial
Keyword: Inference,
Situation calculus,
Semantic patterns,
FOL,
Artificial intelligence
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