Abstract. This paper presents a controlled language for ontology editing and a software implementation, based partly on standard NLP tools, for processing that language and manipul...
Adam Funk, Valentin Tablan, Kalina Bontcheva, Hami...
When performing concept description, models need to be evaluated both on accuracy and comprehensibility. A comprehensible concept description model should present the most importan...
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
Abstract—The excellent bit error rate performance of new iterative decoding algorithms (e.g., turbodecoding) is achieved at the expense of a computationally burdensome decoding p...
Conversational Case-Based Reasoning (CCBR) provides a mixed-initiative dialog for guiding users to refine their problem descriptions incrementally through a question-answering seq...