Word sense disambiguation is typically phrased as the task of labeling a word in context with the best-fitting sense from a sense inventory such as WordNet. While questions have o...
This paper presents an approach to creating flexible general-logic representations from language for use in high-level reasoning tasks in cognitive modeling. These representations...
We focus in this paper on the named entity recognition task in spoken data. The proposed approach investigates the use of various contexts of the words to improve recognition. Exp...
Much research effort on Automatic Image Annotation
(AIA) has been focused on Generative Model, due to its
well formed theory and competitive performance as compared
with many we...
Abstract. This paper presents a method which allows for merging beliefs expressed thanks to logic programming with stable model semantics. This method is based on the syntactic mer...