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ACL
1990
13 years 9 months ago
Automatically Extracting and Representing Collocations for Language Generation
Collocational knowledge is necessary for language generation. The problem is that collocations come in a large variety of forms. They can involve two, three or more words, these w...
Frank A. Smadja, Kathleen McKeown
JIIS
2000
120views more  JIIS 2000»
13 years 7 months ago
Machine Learning for Intelligent Processing of Printed Documents
Abstract. A paper document processing system is an information system component which transforms information on printed or handwritten documents into a computer-revisable form. In ...
Floriana Esposito, Donato Malerba, Francesca A. Li...
ITS
2010
Springer
178views Multimedia» more  ITS 2010»
14 years 15 days ago
Learning What Works in ITS from Non-traditional Randomized Controlled Trial Data
The traditional, well established approach to finding out what works in education research is to run a randomized controlled trial (RCT) using a standard pretest and posttest desig...
Zachary A. Pardos, Matthew D. Dailey, Neil T. Heff...
ICASSP
2011
IEEE
12 years 11 months ago
Unsupervised determination of efficient Korean LVCSR units using a Bayesian Dirichlet process model
Korean is an agglutinative language that does not have explicit word boundaries. It is also a highly inflective language that exhibits severe coarticulation effects. These charac...
Sakriani Sakti, Andrew M. Finch, Ryosuke Isotani, ...
UM
2005
Springer
14 years 1 months ago
A Bayesian Approach to Modelling Users' Information Display Preferences
This paper describes the process by which we constructed a user model for ERST - an External Representation Selection Tutor - which recommends external representations (ERs) for pa...
Beate Grawemeyer, Richard Cox