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» Filling Knowledge Gaps in Text for Machine Reading
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COLING
2010
12 years 11 months ago
Filling Knowledge Gaps in Text for Machine Reading
Texts are replete with gaps, information omitted since authors assume a certain amount of background knowledge. We define the process of enrichment that fills these gaps. We descr...
Anselmo Peñas, Eduard H. Hovy
AIED
2009
Springer
13 years 11 months ago
Interactive Paraphrase Training: The Development and Testing of an iSTART Module
Comprehension of science texts is challenging, particularly when the reader lacks the skills or knowledge necessary to fill in conceptual gaps in the text content. The iSTART syste...
Danielle S. McNamara, Chutima Boonthum, Christophe...
AAAI
2007
13 years 7 months ago
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned
A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason...
Ken Barker, Bhalchandra Agashe, Shaw Yi Chaw, Jame...
ACL
2012
11 years 7 months ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
FLAIRS
2009
13 years 2 months ago
Organizing Knowledge as an Ontology of the Domain of Resilient Computing by Means of Natural Language Processing - An Experience
Scientists typically need to take a large volume of information into account in order to deal with re-occurring tasks such as inspecting proceedings, finding related work, or revi...
Algirdas Avizienis, Gintare Grigonyte, Johann Hall...