Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Despite its state-of-the-art performance, the Data Oriented Parsing (DOP) model has been shown to suffer from biased parameter estimation, and the good performance seems more the ...
Computer understanding of visual languages in pen-based environments requires a combination of lexical analysis in which the basic tokens are recognized from hand-drawn gestures an...
Adrian C. Bickerstaffe, Aidan Lane, Bernd Meyer, K...
This paper describes a new language resource of events and semantic roles that characterize real-world situations. Narrative schemas contain sets of related events (edit and publi...
There are a number of genuinely open questions concerning the use of domain models in nlp. It would be great if contributors to Applied Ontology could help addressing them rather ...