One of the central problems in building broad-coverage story understanding systems is generating expectations about event sequences, i.e. predicting what happens next given some a...
Shallow parsers are usually assumed to be trained on noise-free material, drawn from the same distribution as the testing material. However, when either the training set is noisy ...
The ALPS project (Active Learning in Problem Solving) is building and evaluating an educational technology that combines cognitive tutors with a novel interactive questioning envi...
Scott M. Stevens, Albert T. Corbett, Kenneth R. Ko...
Active learning (AL) is getting more and more popular as a methodology to considerably reduce the annotation effort when building training material for statistical learning method...
This paper presents a novel approach to the unsupervised learning of syntactic analyses of natural language text. Most previous work has focused on maximizing likelihood according...