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» Using Machine Learning and Text Mining in Question Answering
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ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
15 years 3 months ago
Predicting Future Decision Trees from Evolving Data
Recognizing and analyzing change is an important human virtue because it enables us to anticipate future scenarios and thus allows us to act pro-actively. One approach to understa...
Mirko Böttcher, Martin Spott, Rudolf Kruse
AIED
2009
Springer
15 years 4 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...
ECTEL
2008
Springer
14 years 10 months ago
Immediate Elaborated Feedback Personalization in Online Assessment
Providing a student with feedback that is timely, most suitable and useful for her personality and the performed task is a challenging problem of online assessment within Web-based...
Ekaterina Vasilyeva, Paul De Bra, Mykola Pechenizk...
115
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SOCIALCOM
2010
14 years 7 months ago
A Methodology for Integrating Network Theory and Topic Modeling and its Application to Innovation Diffusion
Text data pertaining to socio-technical networks often are analyzed separately from relational data, or are reduced to the fact and strength of the flow of information between node...
Jana Diesner, Kathleen M. Carley
SIGOPS
2008
146views more  SIGOPS 2008»
14 years 9 months ago
Vigilant: out-of-band detection of failures in virtual machines
What do our computer systems do all day? How do we make sure they continue doing it when failures occur? Traditional approaches to answering these questions often involve inband m...
Dan Pelleg, Muli Ben-Yehuda, Richard Harper, Lisa ...