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» A Text Understander that Learns
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173
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SIGCSE
2008
ACM
162views Education» more  SIGCSE 2008»
15 years 6 months ago
Automatic extraction of notions from course material
Formally defining the knowledge units taught in a course helps instructors ensure a sound coverage of topics and provides an objective basis for comparing the content of two cours...
Michela Pedroni, Manuel Oriol, Bertrand Meyer, Luk...
IJET
2007
99views more  IJET 2007»
15 years 6 months ago
Treating metadata as annotations: separating the content markup from the content
— The use of digital learning resources creates an increasing need for semantic metadata, describing the whole resource, as well as parts of resources. Traditionally, schemas suc...
Fredrik Paulsson, Jonas Engman
COLING
2002
15 years 6 months ago
(Semi-)Automatic Detection of Errors in PoS-Tagged Corpora
This paper presents a simple yet in practice very efficient technique serving for automatic detection of those positions in a partof-speech tagged corpus where an error is to be s...
Pavel Kveton, Karel Oliva
ISSRE
2010
IEEE
15 years 5 months ago
Security Trend Analysis with CVE Topic Models
—We study the vulnerability reports in the Common Vulnerability and Exposures (CVE) database by using topic models on their description texts to find prevalent vulnerability typ...
Stephan Neuhaus, Thomas Zimmermann
202
Voted
JACM
2010
208views more  JACM 2010»
15 years 5 months ago
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...